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targets/farafenni_malaria/farafenni_malaria_s0001_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0001_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.548342393556052,
+      13.519561451157294,
+      -15.502090432565083,
+      13.56452753145323
+    ],
+    "centroid": {
+      "lon": -15.525216413060567,
+      "lat": 13.542044491305262
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 19,
+    "class": "low",
+    "confidence": 0.48,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      1,
+      37
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0001_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.548342393556052,
+        13.519561451157294,
+        -15.502090432565083,
+        13.56452753145323
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.48
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 322
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": -7.7482,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 15
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 15.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -0.31, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.06, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 15, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0006_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0006_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.72273651414365,
+      13.518298965177742,
+      -15.676484798605253,
+      13.563265045473678
+    ],
+    "centroid": {
+      "lon": -15.699610656374452,
+      "lat": 13.54078200532571
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 0,
+    "class": "low",
+    "confidence": 0.34,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      18
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0006_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.72273651414365,
+        13.518298965177742,
+        -15.676484798605253,
+        13.563265045473678
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.34
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 64
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": -50.6895,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": false,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 12
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 12.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.0
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -2.03, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.01, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 12, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0007_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0007_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.557213372636392,
+      13.516172105744985,
+      -15.510962070545416,
+      13.561138186040921
+    ],
+    "centroid": {
+      "lon": -15.534087721590904,
+      "lat": 13.538655145892953
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 4,
+    "class": "low",
+    "confidence": 0.48,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      22
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0007_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.557213372636392,
+        13.516172105744985,
+        -15.510962070545416,
+        13.561138186040921
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.48
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 285
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": -38.8809,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 15
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 15.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -1.56, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.06, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 15, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0009_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0009_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.659985313657755,
+      13.553485192056389,
+      -15.613726747825359,
+      13.598451272352325
+    ],
+    "centroid": {
+      "lon": -15.636856030741557,
+      "lat": 13.575968232204357
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0009_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.659985313657755,
+        13.553485192056389,
+        -15.613726747825359,
+        13.598451272352325
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 533
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 12
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 12.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.11, health-facility signal 0.01, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 12, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0010_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0010_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.62381424131444,
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+    "centroid": {
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+      "lat": 13.570236373762771
+    }
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+  "time_window": {
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+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.57,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
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+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0010_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
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+        -15.62381424131444,
+        13.547753333614803,
+        -15.577556792727092,
+        13.59271941391074
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+        "MAP/GBIF labels",
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+      ],
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+    "waterway_features_in_chip": 0,
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+  },
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+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 19
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 19.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 1.0, health-facility signal 0.04, and school/waterpoint signal 0.15.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 19, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0011_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0011_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
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+    "end_date": "2025-12-31",
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+      21
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+  },
+  "risk": {
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+    "class": "low",
+    "confidence": 0.36,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      18
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0011_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.644304880181764,
+        13.461381999270424,
+        -15.598064204418563,
+        13.50634807956636
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
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+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.36
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+  ],
+  "exposure": {
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+    "urban_or_building_features_in_chip": 101
+  },
+  "signals": {
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+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
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+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
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+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
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+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 6
+    }
+  },
+  "rationale": [
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+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 6.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.05
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -296.05, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.02, health-facility signal 0.01, and school/waterpoint signal 0.03.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 6, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0016_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0016_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.640419509917022,
+      13.510865367479886,
+      -15.594169239110792,
+      13.555831447775821
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+      "lat": 13.533348407627853
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+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
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+    "class": "low",
+    "confidence": 0.43,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      18
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0016_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.640419509917022,
+        13.510865367479886,
+        -15.594169239110792,
+        13.555831447775821
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.43
+    }
+  ],
+  "exposure": {
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+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 122
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": -444.2292,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 17
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 17.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.3
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -17.77, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.02, health-facility signal 0.01, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 17, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0017_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0017_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.556882489156157,
+      13.524044324683555,
+      -15.51062965640225,
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+    "centroid": {
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+      "lat": 13.546527364831523
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+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
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+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.48,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0017_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.556882489156157,
+        13.524044324683555,
+        -15.51062965640225,
+        13.56901040497949
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.48
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 590
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": -0.4458,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 16
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 16.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -0.02, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.12, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 16, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0019_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0019_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.617628222572826,
+      13.540155147802542,
+      -15.571372254215458,
+      13.585121228098478
+    ],
+    "centroid": {
+      "lon": -15.594500238394142,
+      "lat": 13.56263818795051
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.57,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0019_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.617628222572826,
+        13.540155147802542,
+        -15.571372254215458,
+        13.585121228098478
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+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.57
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+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
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+    "schools_or_waterpoints_in_chip": 12,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 5941
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 11
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 11.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 1.0, health-facility signal 0.04, and school/waterpoint signal 0.15.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 11, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0020_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0020_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.645934865909354,
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+      -15.599695446208756,
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+      "lat": 13.477372575926244
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+  },
+  "time_window": {
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+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
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+  },
+  "risk": {
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+    "class": "low",
+    "confidence": 0.36,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      18
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0020_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.645934865909354,
+        13.454889535778277,
+        -15.599695446208756,
+        13.499855616074212
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.36
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 2,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 89
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
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+      "rainfall_chirps_mean_mm": -7725.875,
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+    },
+    "hydrology": {
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+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 6
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 6.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.05
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -309.04, and OSM water-context signal 0.01.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.02, health-facility signal 0.01, and school/waterpoint signal 0.03.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 6, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0021_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0021_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.65818480948989,
+      13.566578394311621,
+      -15.61192368961139,
+      13.611544474607557
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+      "lat": 13.58906143445959
+    }
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+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 18,
+    "class": "low",
+    "confidence": 0.46,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      36
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0021_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.65818480948989,
+        13.566578394311621,
+        -15.61192368961139,
+        13.611544474607557
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.46
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 535
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 10
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 10.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.35
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.11, health-facility signal 0.01, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 10, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0026_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0026_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.617346997625264,
+      13.531048742687684,
+      -15.571092802123095,
+      13.57601482298362
+    ],
+    "centroid": {
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+      "lat": 13.553531782835652
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0026_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.617346997625264,
+        13.531048742687684,
+        -15.571092802123095,
+        13.57601482298362
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 4,
+    "schools_or_waterpoints_in_chip": 12,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 4095
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 17
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 17.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.82, health-facility signal 0.04, and school/waterpoint signal 0.15.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 17, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0027_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0027_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.592316376670794,
+      13.538397168095583,
+      -15.546060750662424,
+      13.58336324839152
+    ],
+    "centroid": {
+      "lon": -15.569188563666609,
+      "lat": 13.560880208243551
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.5,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0027_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.592316376670794,
+        13.538397168095583,
+        -15.546060750662424,
+        13.58336324839152
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.5
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 1404
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 16
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 16.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.28, health-facility signal 0.0, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 16, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0029_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0029_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.494802439193917,
+      13.53681442449819,
+      -15.448547121367474,
+      13.581780504794125
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+    "centroid": {
+      "lon": -15.471674780280695,
+      "lat": 13.559297464646157
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.48,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0029_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.494802439193917,
+        13.53681442449819,
+        -15.448547121367474,
+        13.581780504794125
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.48
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 572
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 15
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 15.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.11, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 15, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0030_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0030_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.523691767081035,
+      13.470884156128355,
+      -15.477449251792256,
+      13.51585023642429
+    ],
+    "centroid": {
+      "lon": -15.500570509436645,
+      "lat": 13.493367196276322
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 3,
+    "class": "low",
+    "confidence": 0.36,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      21
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0030_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.523691767081035,
+        13.470884156128355,
+        -15.477449251792256,
+        13.51585023642429
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.36
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 1
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 3
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 3.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.05
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.01.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.0, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 3, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0031_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0031_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.583226136892623,
+      13.557959217817466,
+      -15.536966698630767,
+      13.602925298113401
+    ],
+    "centroid": {
+      "lon": -15.560096417761695,
+      "lat": 13.580442257965434
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0031_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.583226136892623,
+        13.557959217817466,
+        -15.536966698630767,
+        13.602925298113401
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 2,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 803
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 27
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 27.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.16, health-facility signal 0.0, and school/waterpoint signal 0.03.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 27, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0036_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0036_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.577046581064891,
+      13.561632885917163,
+      -15.530786426206824,
+      13.606598966213099
+    ],
+    "centroid": {
+      "lon": -15.553916503635858,
+      "lat": 13.584115926065131
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0036_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.577046581064891,
+        13.561632885917163,
+        -15.530786426206824,
+        13.606598966213099
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 727
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 26
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 26.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.15, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 26, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0037_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0037_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.581298387653732,
+      13.556080349223256,
+      -15.535039315807278,
+      13.601046429519192
+    ],
+    "centroid": {
+      "lon": -15.558168851730505,
+      "lat": 13.578563389371224
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0037_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.581298387653732,
+        13.556080349223256,
+        -15.535039315807278,
+        13.601046429519192
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 942
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 26
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 26.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.19, health-facility signal 0.0, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 26, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0039_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0039_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.599549701904216,
+      13.543361897814618,
+      -15.55329310893908,
+      13.588327978110554
+    ],
+    "centroid": {
+      "lon": -15.576421405421648,
+      "lat": 13.565844937962586
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0039_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.599549701904216,
+        13.543361897814618,
+        -15.55329310893908,
+        13.588327978110554
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 9,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 4415
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 24
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 24.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.88, health-facility signal 0.01, and school/waterpoint signal 0.11.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 24, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0040_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0040_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.582671561757415,
+      13.555175818308635,
+      -15.536412666292026,
+      13.600141898604571
+    ],
+    "centroid": {
+      "lon": -15.55954211402472,
+      "lat": 13.577658858456603
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0040_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.582671561757415,
+        13.555175818308635,
+        -15.536412666292026,
+        13.600141898604571
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 840
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 26
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 26.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.17, health-facility signal 0.0, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 26, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0041_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0041_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.556643707708265,
+      13.525850962350038,
+      -15.510390523536845,
+      13.570817042645974
+    ],
+    "centroid": {
+      "lon": -15.533517115622555,
+      "lat": 13.548334002498006
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0041_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.556643707708265,
+        13.525850962350038,
+        -15.510390523536845,
+        13.570817042645974
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 713
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 16
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 16.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.14, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 16, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0046_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0046_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.659212146928464,
+      13.5326903700007,
+      -15.61295763192701,
+      13.577656450296637
+    ],
+    "centroid": {
+      "lon": -15.636084889427737,
+      "lat": 13.555173410148669
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0046_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.659212146928464,
+        13.5326903700007,
+        -15.61295763192701,
+        13.577656450296637
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 2,
+    "schools_or_waterpoints_in_chip": 2,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 427
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 22
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 22.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.09, health-facility signal 0.02, and school/waterpoint signal 0.03.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 22, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0047_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0047_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.591226890018252,
+      13.563648260606316,
+      -15.544966341945212,
+      13.608614340902252
+    ],
+    "centroid": {
+      "lon": -15.568096615981732,
+      "lat": 13.586131300754284
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.5,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0047_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.591226890018252,
+        13.563648260606316,
+        -15.544966341945212,
+        13.608614340902252
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.5
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 6,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 1399
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 28
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 28.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.28, health-facility signal 0.0, and school/waterpoint signal 0.07.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 28, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0049_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0049_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.654244739529496,
+      13.544713550282042,
+      -15.607987883242295,
+      13.589679630577978
+    ],
+    "centroid": {
+      "lon": -15.631116311385895,
+      "lat": 13.56719659043001
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0049_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.654244739529496,
+        13.544713550282042,
+        -15.607987883242295,
+        13.589679630577978
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 863
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 18
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 18.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.17, health-facility signal 0.01, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 18, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0050_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0050_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.65725994690998,
+      13.56215865432916,
+      -15.610999689476648,
+      13.607124734625096
+    ],
+    "centroid": {
+      "lon": -15.634129818193314,
+      "lat": 13.584641694477128
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 20,
+    "class": "low",
+    "confidence": 0.47,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      2,
+      38
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0050_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.65725994690998,
+        13.56215865432916,
+        -15.610999689476648,
+        13.607124734625096
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.47
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 640
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 11
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 11.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.4
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.13, health-facility signal 0.01, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 11, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0051_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0051_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.634234521152814,
+      13.461578749989927,
+      -15.587993807314957,
+      13.506544830285863
+    ],
+    "centroid": {
+      "lon": -15.611114164233886,
+      "lat": 13.484061790137895
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 0,
+    "class": "low",
+    "confidence": 0.36,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      18
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0051_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.634234521152814,
+        13.461578749989927,
+        -15.587993807314957,
+        13.506544830285863
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.36
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 2,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 101
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": -7385.6787,
+      "rainfall_chirps_p90_mm": -4595.0566
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 6
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 6.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.05
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -295.43, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.02, health-facility signal 0.01, and school/waterpoint signal 0.03.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 6, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0056_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0056_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.589871050287465,
+      13.538895954364454,
+      -15.54361532715039,
+      13.58386203466039
+    ],
+    "centroid": {
+      "lon": -15.566743188718927,
+      "lat": 13.561378994512422
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0056_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.589871050287465,
+        13.538895954364454,
+        -15.54361532715039,
+        13.58386203466039
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 1046
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 17
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 17.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.21, health-facility signal 0.0, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 17, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0057_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0057_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.594235064655962,
+      13.573802738377337,
+      -15.547972534394386,
+      13.618768818673272
+    ],
+    "centroid": {
+      "lon": -15.571103799525174,
+      "lat": 13.596285778525305
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.5,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0057_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.594235064655962,
+        13.573802738377337,
+        -15.547972534394386,
+        13.618768818673272
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.5
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 5,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 1282
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 16
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 16.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.26, health-facility signal 0.0, and school/waterpoint signal 0.06.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 16, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0059_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0059_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.721861326743513,
+      13.54396013309809,
+      -15.675604617236766,
+      13.588926213394025
+    ],
+    "centroid": {
+      "lon": -15.69873297199014,
+      "lat": 13.566443173246057
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 10,
+    "class": "low",
+    "confidence": 0.4,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      28
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0059_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.721861326743513,
+        13.54396013309809,
+        -15.675604617236766,
+        13.588926213394025
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.4
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 196
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 16
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 16.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.04, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 16, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0060_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0060_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.642088500258604,
+      13.51406258727358,
+      -15.595837608173825,
+      13.559028667569516
+    ],
+    "centroid": {
+      "lon": -15.618963054216215,
+      "lat": 13.536545627421548
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 0,
+    "class": "low",
+    "confidence": 0.44,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      18
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0060_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.642088500258604,
+        13.51406258727358,
+        -15.595837608173825,
+        13.559028667569516
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.44
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 154
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": -265.9815,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 17
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 17.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.3
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -10.64, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.03, health-facility signal 0.01, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 17, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0061_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0061_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.657288726457157,
+      13.558861872337525,
+      -15.61102911214061,
+      13.603827952633461
+    ],
+    "centroid": {
+      "lon": -15.634158919298883,
+      "lat": 13.581344912485493
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 20,
+    "class": "low",
+    "confidence": 0.47,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      2,
+      38
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0061_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.657288726457157,
+        13.558861872337525,
+        -15.61102911214061,
+        13.603827952633461
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.47
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 664
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 11
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 11.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.4
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.13, health-facility signal 0.01, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 11, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0066_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0066_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.726078499010091,
+      13.530865647087964,
+      -15.679824339140003,
+      13.5758317273839
+    ],
+    "centroid": {
+      "lon": -15.702951419075047,
+      "lat": 13.553348687235932
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 0,
+    "class": "low",
+    "confidence": 0.34,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      18
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0066_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.726078499010091,
+        13.530865647087964,
+        -15.679824339140003,
+        13.5758317273839
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.34
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 62
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": false,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 12
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 12.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.0
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.01, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 12, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0067_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0067_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.627983078915193,
+      13.519604690605409,
+      -15.581731109517165,
+      13.564570770901344
+    ],
+    "centroid": {
+      "lon": -15.604857094216179,
+      "lat": 13.542087730753376
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 0,
+    "class": "low",
+    "confidence": 0.43,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      18
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0067_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.627983078915193,
+        13.519604690605409,
+        -15.581731109517165,
+        13.564570770901344
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.43
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 5,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 625
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": -64.7136,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 16
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 16.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.25
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -2.59, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.12, health-facility signal 0.0, and school/waterpoint signal 0.06.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 16, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0068_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0068_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.641587170219191,
+      13.46073042754848,
+      -15.595346620542012,
+      13.505696507844416
+    ],
+    "centroid": {
+      "lon": -15.618466895380601,
+      "lat": 13.483213467696448
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 0,
+    "class": "low",
+    "confidence": 0.36,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      18
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0068_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.641587170219191,
+        13.46073042754848,
+        -15.595346620542012,
+        13.505696507844416
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.36
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 2,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 101
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": -7450.8662,
+      "rainfall_chirps_p90_mm": -4764.7041
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 6
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 6.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.05
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -298.03, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.02, health-facility signal 0.01, and school/waterpoint signal 0.03.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 6, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0069_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0069_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.586844547349784,
+      13.556864198343556,
+      -15.540585322644475,
+      13.601830278639492
+    ],
+    "centroid": {
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+      "lat": 13.579347238491524
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0069_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.586844547349784,
+        13.556864198343556,
+        -15.540585322644475,
+        13.601830278639492
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 3,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 799
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 29
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 29.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.16, health-facility signal 0.0, and school/waterpoint signal 0.04.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 29, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0070_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0070_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.483830294302196,
+      13.557540357919596,
+      -15.437570937730863,
+      13.602506438215531
+    ],
+    "centroid": {
+      "lon": -15.46070061601653,
+      "lat": 13.580023398067564
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.48,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0070_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.483830294302196,
+        13.557540357919596,
+        -15.437570937730863,
+        13.602506438215531
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.48
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 533
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 16
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 16.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.01.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.11, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 16, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0071_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0071_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.528455561824659,
+      13.526182431280967,
+      -15.4822023131721,
+      13.571148511576903
+    ],
+    "centroid": {
+      "lon": -15.50532893749838,
+      "lat": 13.548665471428935
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.48,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0071_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.528455561824659,
+        13.526182431280967,
+        -15.4822023131721,
+        13.571148511576903
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.48
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 494
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 9
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 9.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.1, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 9, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0076_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0076_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.636194533582856,
+      13.512306149628564,
+      -15.589943982826078,
+      13.5572722299245
+    ],
+    "centroid": {
+      "lon": -15.613069258204467,
+      "lat": 13.534789189776532
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 0,
+    "class": "low",
+    "confidence": 0.43,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      18
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0076_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.636194533582856,
+        13.512306149628564,
+        -15.589943982826078,
+        13.5572722299245
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.43
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 123
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": -358.275,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 17
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 17.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.3
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -14.33, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.02, health-facility signal 0.01, and school/waterpoint signal 0.01.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 17, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0077_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0077_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.590895638111412,
+      13.563900846791894,
+      -15.544635040752372,
+      13.60886692708783
+    ],
+    "centroid": {
+      "lon": -15.567765339431892,
+      "lat": 13.586383886939862
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.5,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0077_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.590895638111412,
+        13.563900846791894,
+        -15.544635040752372,
+        13.60886692708783
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.5
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 6,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 1368
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 28
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 28.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.27, health-facility signal 0.0, and school/waterpoint signal 0.07.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 28, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0078_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0078_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.655653899426003,
+      13.529817353224947,
+      -15.609399943553363,
+      13.574783433520883
+    ],
+    "centroid": {
+      "lon": -15.632526921489683,
+      "lat": 13.552300393372915
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0078_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.655653899426003,
+        13.529817353224947,
+        -15.609399943553363,
+        13.574783433520883
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 2,
+    "schools_or_waterpoints_in_chip": 2,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 368
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 22
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 22.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.07, health-facility signal 0.02, and school/waterpoint signal 0.03.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 22, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0079_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0079_label_positive_jitter",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.611778743512648,
+      13.47687449447778,
+      -15.565535067823461,
+      13.521840574773716
+    ],
+    "centroid": {
+      "lon": -15.588656905668055,
+      "lat": 13.499357534625748
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 0,
+    "class": "low",
+    "confidence": 0.36,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      18
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0079_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.611778743512648,
+        13.47687449447778,
+        -15.565535067823461,
+        13.521840574773716
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.36
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 2,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 92
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": -5028.5845,
+      "rainfall_chirps_p90_mm": -1501.0875
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 7
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 7.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.05
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal -201.14, and OSM water-context signal 0.01.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.02, health-facility signal 0.01, and school/waterpoint signal 0.03.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 7, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0081_hard_negative_water_urban_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0081_hard_negative_water_urban",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.549663883801543,
+      13.545415214075575,
+      -15.503406890808435,
+      13.590381294371511
+    ],
+    "centroid": {
+      "lon": -15.526535387304989,
+      "lat": 13.567898254223543
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.48,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0081_hard_negative_water_urban_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.549663883801543,
+        13.545415214075575,
+        -15.503406890808435,
+        13.590381294371511
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.48
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 560
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 12
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 12.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.11, health-facility signal 0.0, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 12, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0083_hard_negative_water_urban_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0083_hard_negative_water_urban",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.616691025452326,
+      13.561743586898434,
+      -15.570430848997312,
+      13.60670966719437
+    ],
+    "centroid": {
+      "lon": -15.593560937224819,
+      "lat": 13.584226627046402
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.57,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0083_hard_negative_water_urban_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.616691025452326,
+        13.561743586898434,
+        -15.570430848997312,
+        13.60670966719437
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.57
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 4,
+    "schools_or_waterpoints_in_chip": 15,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 7527
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 13
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 13.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 1.0, health-facility signal 0.04, and school/waterpoint signal 0.19.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 13, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0084_hard_negative_water_urban_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0084_hard_negative_water_urban",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.616717415618682,
+      13.55657968181272,
+      -15.57045824639822,
+      13.601545762108655
+    ],
+    "centroid": {
+      "lon": -15.59358783100845,
+      "lat": 13.579062721960687
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.57,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0084_hard_negative_water_urban_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.616717415618682,
+        13.55657968181272,
+        -15.57045824639822,
+        13.601545762108655
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.57
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 4,
+    "schools_or_waterpoints_in_chip": 14,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 7533
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 13
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 13.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 1.0, health-facility signal 0.04, and school/waterpoint signal 0.17.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 13, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0085_hard_negative_water_urban_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0085_hard_negative_water_urban",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.704301491851385,
+      13.56746482144037,
+      -15.658040198963072,
+      13.612430901736305
+    ],
+    "centroid": {
+      "lon": -15.681170845407228,
+      "lat": 13.589947861588337
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 10,
+    "class": "low",
+    "confidence": 0.41,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      28
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0085_hard_negative_water_urban_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.704301491851385,
+        13.56746482144037,
+        -15.658040198963072,
+        13.612430901736305
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.41
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 479
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 4
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 4.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.1, health-facility signal 0.01, and school/waterpoint signal 0.0.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 4, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0087_hard_negative_water_urban_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0087_hard_negative_water_urban",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.614222113132175,
+      13.557433407039946,
+      -15.567962777419101,
+      13.602399487335882
+    ],
+    "centroid": {
+      "lon": -15.591092445275638,
+      "lat": 13.579916447187914
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.57,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0087_hard_negative_water_urban_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.614222113132175,
+        13.557433407039946,
+        -15.567962777419101,
+        13.602399487335882
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.57
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 4,
+    "schools_or_waterpoints_in_chip": 16,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 7562
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 13
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 13.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 1.0, health-facility signal 0.04, and school/waterpoint signal 0.2.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 13, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0088_hard_negative_water_urban_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0088_hard_negative_water_urban",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.614640769470357,
+      13.56676084548757,
+      -15.56837961398267,
+      13.611726925783506
+    ],
+    "centroid": {
+      "lon": -15.591510191726513,
+      "lat": 13.589243885635538
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.57,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0088_hard_negative_water_urban_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.614640769470357,
+        13.56676084548757,
+        -15.56837961398267,
+        13.611726925783506
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.57
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 4,
+    "schools_or_waterpoints_in_chip": 10,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 7052
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 13
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 13.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 1.0, health-facility signal 0.04, and school/waterpoint signal 0.12.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 13, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0090_hard_negative_water_urban_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0090_hard_negative_water_urban",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.61961653873383,
+      13.546984788359675,
+      -15.57335923991084,
+      13.59195086865561
+    ],
+    "centroid": {
+      "lon": -15.596487889322335,
+      "lat": 13.569467828507642
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 23,
+    "class": "low",
+    "confidence": 0.57,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      5,
+      41
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0090_hard_negative_water_urban_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.61961653873383,
+        13.546984788359675,
+        -15.57335923991084,
+        13.59195086865561
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.57
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 4,
+    "schools_or_waterpoints_in_chip": 12,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 6425
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 21
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 21.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 1.0, health-facility signal 0.04, and school/waterpoint signal 0.15.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 21, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0091_hard_negative_water_urban_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0091_hard_negative_water_urban",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.615255157884247,
+      13.554920119405475,
+      -15.568996312277113,
+      13.59988619970141
+    ],
+    "centroid": {
+      "lon": -15.59212573508068,
+      "lat": 13.577403159553443
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 22,
+    "class": "low",
+    "confidence": 0.57,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      4,
+      40
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0091_hard_negative_water_urban_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.615255157884247,
+        13.554920119405475,
+        -15.568996312277113,
+        13.59988619970141
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.57
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 4,
+    "schools_or_waterpoints_in_chip": 13,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 7431
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 13
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 13.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.45
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 1.0, health-facility signal 0.04, and school/waterpoint signal 0.16.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 13, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}

targets/farafenni_malaria/farafenni_malaria_s0093_hard_negative_water_urban_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "farafenni_malaria_s0093_hard_negative_water_urban",
+  "run_id": "vectoros_vector_100k_simsat_20260506",
+  "generated_at": "2026-05-06T00:00:00Z",
+  "disease_module": "mosquito_anopheles_malaria",
+  "disease_targets": [
+    "malaria",
+    "Anopheles mosquito habitat"
+  ],
+  "aoi": {
+    "aoi_id": "farafenni_malaria",
+    "admin0": "The Gambia",
+    "name": "Farafenni, The Gambia",
+    "bbox": [
+      -15.628536188060286,
+      13.575570907490661,
+      -15.582273312480185,
+      13.620536987786597
+    ],
+    "centroid": {
+      "lon": -15.605404750270235,
+      "lat": 13.598053947638629
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 15,
+    "class": "low",
+    "confidence": 0.49,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      33
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "farafenni_malaria_s0093_hard_negative_water_urban_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -15.628536188060286,
+        13.575570907490661,
+        -15.582273312480185,
+        13.620536987786597
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.49
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.0,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 4,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 3801
+  },
+  "signals": {
+    "visual_packet": {
+      "source": "VectorOS SimSat Sentinel-2 + Mapbox + open-layer evidence packet",
+      "panel_order": [
+        "top_left: SimSat Sentinel-2 true-color RGB",
+        "top_right: SimSat Sentinel-2 false color NIR-red-green",
+        "bottom_left: Mapbox satellite context",
+        "bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
+      ],
+      "quality": "real_imagery_plus_derived_environmental_context"
+    },
+    "climate": {
+      "rainfall_chirps_mean_mm": 0.0,
+      "rainfall_chirps_p90_mm": 0.0
+    },
+    "hydrology": {
+      "jrc_occurrence_mean_percent": 0.0,
+      "jrc_seasonality_mean_months": 0.0
+    },
+    "health_surveillance": {
+      "case_signal_available": true,
+      "source": "Malaria Atlas Project + GBIF",
+      "spatial_precision": "tile_or_aoi_weak"
+    },
+    "entomology_or_host": {
+      "observation_available": true,
+      "source": "MAP malaria survey and GBIF Anopheles occurrence",
+      "count_in_chip": 6
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 6.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.3
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.0.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.0, urban signal 0.76, health-facility signal 0.0, and school/waterpoint signal 0.05.",
+      "evidence_layer": "WorldPop_OSM",
+      "evidence_ref": "numeric_features.population_and_osm_counts",
+      "confidence": 0.55
+    }
+  ],
+  "recommended_actions": [
+    {
+      "action_type": "vector_trap_priority",
+      "description": "Prioritize malaria habitat or vector-survey follow-up only after local health-team review; label count 6, weak risk class low.",
+      "priority": "low",
+      "requires_human_approval": true
+    }
+  ],
+  "limitations": [
+    "This is a weak-supervision training target, not a calibrated disease forecast.",
+    "GBIF and MAP labels are presence/survey-biased and do not prove absence where no records are present.",
+    "This scalable packet includes SimSat Sentinel-2 imagery, Mapbox satellite imagery, and open environmental/exposure layers for visual grounding."
+  ],
+  "audit": {
+    "model_versions": {
+      "target_generator": "scripts/build_vector_100k_dataset.py"
+    },
+    "data_versions": {
+      "source": "SimSat Sentinel-2, Mapbox satellite imagery, data/raw AOI crops, and normalized feature extracts"
+    },
+    "prompt_version": "vectoros-100k-simsat-sft-v0.1",
+    "human_review_status": "unreviewed"
+  }
+}