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targets/navrongo_malaria/navrongo_malaria_s0002_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0002_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.097274901919047,
+      10.791128462278472,
+      -1.051495910693263,
+      10.836094542574408
+    ],
+    "centroid": {
+      "lon": -1.074385406306155,
+      "lat": 10.81361150242644
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 6,
+    "class": "low",
+    "confidence": 0.39,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      24
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0002_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.097274901919047,
+        10.791128462278472,
+        -1.051495910693263,
+        10.836094542574408
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.39
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.1362,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 376
+  },
+  "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": 2
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 2.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.1
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.02.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.11, urban signal 0.08, 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 2, 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/navrongo_malaria/navrongo_malaria_s0003_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0003_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1128493078500918,
+      10.86325012261953,
+      -1.0670592709911495,
+      10.908216202915465
+    ],
+    "centroid": {
+      "lon": -1.0899542894206207,
+      "lat": 10.885733162767497
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 17,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      35
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0003_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1128493078500918,
+        10.86325012261953,
+        -1.0670592709911495,
+        10.908216202915465
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.7561,
+    "health_facilities_in_chip": 8,
+    "schools_or_waterpoints_in_chip": 27,
+    "waterway_features_in_chip": 2,
+    "urban_or_building_features_in_chip": 7202
+  },
+  "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": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.05.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.08, and school/waterpoint signal 0.34.",
+      "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/navrongo_malaria/navrongo_malaria_s0004_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0004_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1424102858677172,
+      10.84835197617037,
+      -1.0966225370838625,
+      10.893318056466306
+    ],
+    "centroid": {
+      "lon": -1.1195164114757898,
+      "lat": 10.870835016318338
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 7,
+    "class": "low",
+    "confidence": 0.41,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      25
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0004_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1424102858677172,
+        10.84835197617037,
+        -1.0966225370838625,
+        10.893318056466306
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.41
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 3.2695,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 2,
+    "waterway_features_in_chip": 5,
+    "urban_or_building_features_in_chip": 1518
+  },
+  "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": 0.05
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.06.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.33, urban signal 0.3, 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 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/navrongo_malaria/navrongo_malaria_s0005_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0005_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1215531658470363,
+      10.846728537316798,
+      -1.075765666191992,
+      10.891694617612734
+    ],
+    "centroid": {
+      "lon": -1.0986594160195142,
+      "lat": 10.869211577464766
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 9,
+    "class": "low",
+    "confidence": 0.48,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      27
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0005_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1215531658470363,
+        10.846728537316798,
+        -1.075765666191992,
+        10.891694617612734
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.48
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.1064,
+    "health_facilities_in_chip": 5,
+    "schools_or_waterpoints_in_chip": 13,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 3743
+  },
+  "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": 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": 0.06
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.04.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.51, urban signal 0.75, health-facility signal 0.05, 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 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/navrongo_malaria/navrongo_malaria_s0008_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0008_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1263455954012773,
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+      -1.0805577949153116,
+      10.893654939169174
+    ],
+    "centroid": {
+      "lon": -1.1034516951582944,
+      "lat": 10.871171899021206
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 9,
+    "class": "low",
+    "confidence": 0.47,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      27
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0008_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1263455954012773,
+        10.848688858873238,
+        -1.0805577949153116,
+        10.893654939169174
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.47
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.3493,
+    "health_facilities_in_chip": 3,
+    "schools_or_waterpoints_in_chip": 6,
+    "waterway_features_in_chip": 4,
+    "urban_or_building_features_in_chip": 3765
+  },
+  "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": 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": 0.06
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.07.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.53, urban signal 0.75, health-facility signal 0.03, 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 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/navrongo_malaria/navrongo_malaria_s0009_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -0.9800732126269626,
+      10.785950541300148,
+      -0.9342950114187126,
+      10.830916621596083
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+      "lat": 10.808433581448115
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 8,
+    "class": "low",
+    "confidence": 0.39,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      26
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0009_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -0.9800732126269626,
+        10.785950541300148,
+        -0.9342950114187126,
+        10.830916621596083
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.39
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 2.7351,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 4,
+    "waterway_features_in_chip": 9,
+    "urban_or_building_features_in_chip": 55
+  },
+  "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": 1
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 1.",
+      "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 0.14.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.27, urban signal 0.01, 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 1, 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/navrongo_malaria/navrongo_malaria_s0012_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0012_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -0.9411555790481595,
+      10.912653085508554,
+      -0.8953579310253278,
+      10.95761916580449
+    ],
+    "centroid": {
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+      "lat": 10.935136125656522
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 5,
+    "class": "low",
+    "confidence": 0.39,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      23
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0012_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -0.9411555790481595,
+        10.912653085508554,
+        -0.8953579310253278,
+        10.95761916580449
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.39
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.7475,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 4,
+    "urban_or_building_features_in_chip": 1007
+  },
+  "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": 1
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 1.",
+      "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 0.04.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.17, urban signal 0.2, 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 1, 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/navrongo_malaria/navrongo_malaria_s0013_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0013_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.086725512839588,
+      10.755092447237653,
+      -1.0409520114652566,
+      10.800058527533588
+    ],
+    "centroid": {
+      "lon": -1.0638387621524223,
+      "lat": 10.77757548738562
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 11,
+    "class": "low",
+    "confidence": 0.41,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      29
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0013_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.086725512839588,
+        10.755092447237653,
+        -1.0409520114652566,
+        10.800058527533588
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.41
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.9036,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 98
+  },
+  "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 0.01.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.09, urban signal 0.02, 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 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/navrongo_malaria/navrongo_malaria_s0014_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0014_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1243239120042827,
+      10.86559028826045,
+      -1.0785335154377789,
+      10.910556368556385
+    ],
+    "centroid": {
+      "lon": -1.1014287137210308,
+      "lat": 10.888073328408417
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 19,
+    "class": "low",
+    "confidence": 0.57,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      1,
+      37
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0014_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1243239120042827,
+        10.86559028826045,
+        -1.0785335154377789,
+        10.910556368556385
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.57
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.756,
+    "health_facilities_in_chip": 8,
+    "schools_or_waterpoints_in_chip": 14,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 6268
+  },
+  "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": 23
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 23.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.26
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.03.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.08, 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 23, 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/navrongo_malaria/navrongo_malaria_s0015_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0015_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.062000550617704,
+      10.963468074620334,
+      -1.016195035715162,
+      11.00843415491627
+    ],
+    "centroid": {
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+      "lat": 10.985951114768302
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 11,
+    "class": "low",
+    "confidence": 0.42,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      29
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0015_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.062000550617704,
+        10.963468074620334,
+        -1.016195035715162,
+        11.00843415491627
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.42
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.6132,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 8,
+    "urban_or_building_features_in_chip": 989
+  },
+  "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": 0.15
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.12.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.16, urban signal 0.2, 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/navrongo_malaria/navrongo_malaria_s0018_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0018_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -0.9190437277097324,
+      10.91204666401234,
+      -0.873246173335717,
+      10.957012744308276
+    ],
+    "centroid": {
+      "lon": -0.8961449505227247,
+      "lat": 10.934529704160308
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 5,
+    "class": "low",
+    "confidence": 0.38,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      23
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0018_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -0.9190437277097324,
+        10.91204666401234,
+        -0.873246173335717,
+        10.957012744308276
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.38
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.8293,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 717
+  },
+  "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": 1
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 1.",
+      "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 0.18, 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 1, 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/navrongo_malaria/navrongo_malaria_s0019_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.0276672186545392,
+      10.918008333304108,
+      -0.9818687433890164,
+      10.962974413600044
+    ],
+    "centroid": {
+      "lon": -1.0047679810217778,
+      "lat": 10.940491373452076
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 9,
+    "class": "low",
+    "confidence": 0.41,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      27
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0019_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.0276672186545392,
+        10.918008333304108,
+        -0.9818687433890164,
+        10.962974413600044
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.41
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.4174,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 2,
+    "urban_or_building_features_in_chip": 553
+  },
+  "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": 0.15
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.02.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.14, urban signal 0.11, 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 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/navrongo_malaria/navrongo_malaria_s0022_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0022_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.0834708376421873,
+      10.975018192609413,
+      -1.0376635292148646,
+      11.019984272905349
+    ],
+    "centroid": {
+      "lon": -1.060567183428526,
+      "lat": 10.997501232757381
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 8,
+    "class": "low",
+    "confidence": 0.4,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      26
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0022_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.0834708376421873,
+        10.975018192609413,
+        -1.0376635292148646,
+        11.019984272905349
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.4
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.3965,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 6,
+    "urban_or_building_features_in_chip": 579
+  },
+  "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": 2
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 2.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.1
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.09.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.14, 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 2, 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/navrongo_malaria/navrongo_malaria_s0023_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0023_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1371413683503304,
+      10.950119151085694,
+      -1.0913379238010035,
+      10.99508523138163
+    ],
+    "centroid": {
+      "lon": -1.114239646075667,
+      "lat": 10.972602191233662
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 5,
+    "class": "low",
+    "confidence": 0.39,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      23
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0023_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1371413683503304,
+        10.950119151085694,
+        -1.0913379238010035,
+        10.99508523138163
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.39
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.8797,
+    "health_facilities_in_chip": 2,
+    "schools_or_waterpoints_in_chip": 2,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 564
+  },
+  "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": 1
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 1.",
+      "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 0.05.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.19, urban signal 0.11, 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 1, 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/navrongo_malaria/navrongo_malaria_s0024_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0024_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1208784674720518,
+      10.875049450529396,
+      -1.0750866160988373,
+      10.920015530825331
+    ],
+    "centroid": {
+      "lon": -1.0979825417854445,
+      "lat": 10.897532490677364
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 19,
+    "class": "low",
+    "confidence": 0.57,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      1,
+      37
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0024_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1208784674720518,
+        10.875049450529396,
+        -1.0750866160988373,
+        10.920015530825331
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.57
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.7567,
+    "health_facilities_in_chip": 7,
+    "schools_or_waterpoints_in_chip": 14,
+    "waterway_features_in_chip": 2,
+    "urban_or_building_features_in_chip": 6516
+  },
+  "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": 14
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 14.",
+      "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 0.0, and OSM water-context signal 0.05.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.07, 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 14, 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/navrongo_malaria/navrongo_malaria_s0025_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0025_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1316270034353972,
+      10.742030754306606,
+      -1.0858554871290957,
+      10.786996834602542
+    ],
+    "centroid": {
+      "lon": -1.1087412452822465,
+      "lat": 10.764513794454574
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 4,
+    "class": "low",
+    "confidence": 0.38,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      22
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0025_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1316270034353972,
+        10.742030754306606,
+        -1.0858554871290957,
+        10.786996834602542
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.38
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.9242,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 2,
+    "urban_or_building_features_in_chip": 684
+  },
+  "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": 1
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 1.",
+      "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 0.05.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.09, 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 1, 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/navrongo_malaria/navrongo_malaria_s0028_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0028_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1108542191947013,
+      10.860929973728316,
+      -1.0650645388855522,
+      10.905896054024252
+    ],
+    "centroid": {
+      "lon": -1.0879593790401267,
+      "lat": 10.883413013876284
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 17,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      35
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0028_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1108542191947013,
+        10.860929973728316,
+        -1.0650645388855522,
+        10.905896054024252
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.7539,
+    "health_facilities_in_chip": 8,
+    "schools_or_waterpoints_in_chip": 25,
+    "waterway_features_in_chip": 2,
+    "urban_or_building_features_in_chip": 7138
+  },
+  "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": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.05.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.08, and school/waterpoint signal 0.31.",
+      "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/navrongo_malaria/navrongo_malaria_s0029_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1054261893780566,
+      10.862609964668586,
+      -1.0596362509036943,
+      10.907576044964522
+    ],
+    "centroid": {
+      "lon": -1.0825312201408754,
+      "lat": 10.885093004816554
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 17,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      35
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0029_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1054261893780566,
+        10.862609964668586,
+        -1.0596362509036943,
+        10.907576044964522
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.756,
+    "health_facilities_in_chip": 8,
+    "schools_or_waterpoints_in_chip": 27,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 7399
+  },
+  "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": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.03.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.08, and school/waterpoint signal 0.34.",
+      "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/navrongo_malaria/navrongo_malaria_s0032_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0032_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.123569758332481,
+      10.864387160690605,
+      -1.0777795467093232,
+      10.90935324098654
+    ],
+    "centroid": {
+      "lon": -1.1006746525209021,
+      "lat": 10.886870200838572
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 19,
+    "class": "low",
+    "confidence": 0.57,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      1,
+      37
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0032_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.123569758332481,
+        10.864387160690605,
+        -1.0777795467093232,
+        10.90935324098654
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.57
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.756,
+    "health_facilities_in_chip": 8,
+    "schools_or_waterpoints_in_chip": 14,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 6354
+  },
+  "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": 23
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 23.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.26
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.03.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.08, 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 23, 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/navrongo_malaria/navrongo_malaria_s0033_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0033_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.0523287134728054,
+      10.970634137740126,
+      -1.0065220860457704,
+      11.015600218036061
+    ],
+    "centroid": {
+      "lon": -1.029425399759288,
+      "lat": 10.993117177888093
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 10,
+    "class": "low",
+    "confidence": 0.42,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      28
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0033_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.0523287134728054,
+        10.970634137740126,
+        -1.0065220860457704,
+        11.015600218036061
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.42
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.6335,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 4,
+    "urban_or_building_features_in_chip": 846
+  },
+  "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": 0.15
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.07.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.16, urban signal 0.17, 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/navrongo_malaria/navrongo_malaria_s0034_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0034_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1464365347019203,
+      10.850165095594388,
+      -1.1006485076346963,
+      10.895131175890324
+    ],
+    "centroid": {
+      "lon": -1.1235425211683083,
+      "lat": 10.872648135742356
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 7,
+    "class": "low",
+    "confidence": 0.41,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      25
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0034_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1464365347019203,
+        10.850165095594388,
+        -1.1006485076346963,
+        10.895131175890324
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.41
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 3.0873,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 5,
+    "urban_or_building_features_in_chip": 1200
+  },
+  "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": 0.05
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.06.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.31, urban signal 0.24, 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 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/navrongo_malaria/navrongo_malaria_s0035_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0035_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.0662827470667786,
+      10.870348393252447,
+      -1.0204916188775461,
+      10.915314473548383
+    ],
+    "centroid": {
+      "lon": -1.0433871829721624,
+      "lat": 10.892831433400415
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 5,
+    "class": "low",
+    "confidence": 0.41,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      23
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0035_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.0662827470667786,
+        10.870348393252447,
+        -1.0204916188775461,
+        10.915314473548383
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.41
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 2.5885,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 1771
+  },
+  "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": 1
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 1.",
+      "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 0.02.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.26, urban signal 0.35, 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 1, 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/navrongo_malaria/navrongo_malaria_s0038_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0038_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1230744830823471,
+      10.845852801294456,
+      -1.0772871177991445,
+      10.890818881590391
+    ],
+    "centroid": {
+      "lon": -1.1001808004407458,
+      "lat": 10.868335841442423
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 9,
+    "class": "low",
+    "confidence": 0.46,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      27
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0038_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1230744830823471,
+        10.845852801294456,
+        -1.0772871177991445,
+        10.890818881590391
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.46
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.0126,
+    "health_facilities_in_chip": 3,
+    "schools_or_waterpoints_in_chip": 5,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 3225
+  },
+  "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": 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": 0.06
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.04.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.5, urban signal 0.65, health-facility signal 0.03, 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 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/navrongo_malaria/navrongo_malaria_s0039_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -0.9713941665226175,
+      10.796726187994265,
+      -0.92561432077663,
+      10.8416922682902
+    ],
+    "centroid": {
+      "lon": -0.9485042436496237,
+      "lat": 10.819209228142233
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 8,
+    "class": "low",
+    "confidence": 0.39,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      26
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0039_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -0.9713941665226175,
+        10.796726187994265,
+        -0.92561432077663,
+        10.8416922682902
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.39
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 2.825,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 3,
+    "waterway_features_in_chip": 9,
+    "urban_or_building_features_in_chip": 36
+  },
+  "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": 1
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 1.",
+      "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 0.14.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.28, urban signal 0.01, 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 1, 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/navrongo_malaria/navrongo_malaria_s0042_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0042_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1040743063556473,
+      10.855390080556631,
+      -1.0582854770656316,
+      10.900356160852567
+    ],
+    "centroid": {
+      "lon": -1.0811798917106394,
+      "lat": 10.8778731207046
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 16,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      34
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0042_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1040743063556473,
+        10.855390080556631,
+        -1.0582854770656316,
+        10.900356160852567
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.6744,
+    "health_facilities_in_chip": 7,
+    "schools_or_waterpoints_in_chip": 27,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 7032
+  },
+  "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": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.03.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.57, urban signal 1.0, health-facility signal 0.07, and school/waterpoint signal 0.34.",
+      "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/navrongo_malaria/navrongo_malaria_s0043_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0043_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.141487689635623,
+      10.852281103901134,
+      -1.0956993377344157,
+      10.89724718419707
+    ],
+    "centroid": {
+      "lon": -1.1185935136850194,
+      "lat": 10.874764144049102
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 7,
+    "class": "low",
+    "confidence": 0.42,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      25
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0043_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.141487689635623,
+        10.852281103901134,
+        -1.0956993377344157,
+        10.89724718419707
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.42
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 3.6265,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 2,
+    "waterway_features_in_chip": 5,
+    "urban_or_building_features_in_chip": 1745
+  },
+  "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": 0.05
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.06.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.36, urban signal 0.35, 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 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/navrongo_malaria/navrongo_malaria_s0044_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0044_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.13157885682112,
+      10.742349482431635,
+      -1.0858072921060549,
+      10.78731556272757
+    ],
+    "centroid": {
+      "lon": -1.1086930744635874,
+      "lat": 10.764832522579603
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 4,
+    "class": "low",
+    "confidence": 0.38,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      22
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0044_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.13157885682112,
+        10.742349482431635,
+        -1.0858072921060549,
+        10.78731556272757
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.38
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.9241,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 2,
+    "urban_or_building_features_in_chip": 685
+  },
+  "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": 1
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 1.",
+      "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 0.05.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.09, 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 1, 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/navrongo_malaria/navrongo_malaria_s0045_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0045_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1458544240545063,
+      10.830287576840247,
+      -1.1000694451638287,
+      10.875253657136183
+    ],
+    "centroid": {
+      "lon": -1.1229619346091675,
+      "lat": 10.852770616988215
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 2,
+    "class": "low",
+    "confidence": 0.36,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      20
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0045_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1458544240545063,
+        10.830287576840247,
+        -1.1000694451638287,
+        10.875253657136183
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.36
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.4784,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 5,
+    "urban_or_building_features_in_chip": 496
+  },
+  "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": 5
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 5.",
+      "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 0.05.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.15, 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 5, 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/navrongo_malaria/navrongo_malaria_s0048_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0048_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1026121166491516,
+      10.871282153424744,
+      -1.0568208448419039,
+      10.91624823372068
+    ],
+    "centroid": {
+      "lon": -1.0797164807455277,
+      "lat": 10.893765193572712
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 17,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      35
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0048_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1026121166491516,
+        10.871282153424744,
+        -1.0568208448419039,
+        10.91624823372068
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.7544,
+    "health_facilities_in_chip": 8,
+    "schools_or_waterpoints_in_chip": 21,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 7315
+  },
+  "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": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.04.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.08, and school/waterpoint signal 0.26.",
+      "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/navrongo_malaria/navrongo_malaria_s0049_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.107349468128383,
+      10.867129191003235,
+      -1.0615588349719645,
+      10.91209527129917
+    ],
+    "centroid": {
+      "lon": -1.0844541515501738,
+      "lat": 10.889612231151203
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 17,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      35
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0049_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.107349468128383,
+        10.867129191003235,
+        -1.0615588349719645,
+        10.91209527129917
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.7559,
+    "health_facilities_in_chip": 9,
+    "schools_or_waterpoints_in_chip": 25,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 7408
+  },
+  "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": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.04.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.09, and school/waterpoint signal 0.31.",
+      "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/navrongo_malaria/navrongo_malaria_s0052_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0052_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.0708947934845336,
+      10.986856038554876,
+      -1.0250856447759364,
+      11.031822118850812
+    ],
+    "centroid": {
+      "lon": -1.047990219130235,
+      "lat": 11.009339078702844
+    }
+  },
+  "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": "navrongo_malaria_s0052_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.0708947934845336,
+        10.986856038554876,
+        -1.0250856447759364,
+        11.031822118850812
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.41
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.4375,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 4,
+    "urban_or_building_features_in_chip": 628
+  },
+  "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": 0.15
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.06.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.14, urban signal 0.13, 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/navrongo_malaria/navrongo_malaria_s0053_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0053_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.0049807362511776,
+      10.905613882678862,
+      -0.9591841749430841,
+      10.950579962974798
+    ],
+    "centroid": {
+      "lon": -0.9820824555971308,
+      "lat": 10.92809692282683
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 9,
+    "class": "low",
+    "confidence": 0.42,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      27
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0053_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.0049807362511776,
+        10.905613882678862,
+        -0.9591841749430841,
+        10.950579962974798
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.42
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.502,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 1177
+  },
+  "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": 0.15
+    },
+    {
+      "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 0.15, urban signal 0.24, 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 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/navrongo_malaria/navrongo_malaria_s0054_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0054_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.0981000575883575,
+      10.791443931640268,
+      -1.0523210182171001,
+      10.836410011936204
+    ],
+    "centroid": {
+      "lon": -1.0752105379027288,
+      "lat": 10.813926971788236
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 7,
+    "class": "low",
+    "confidence": 0.39,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      25
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0054_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.0981000575883575,
+        10.791443931640268,
+        -1.0523210182171001,
+        10.836410011936204
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.39
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.1439,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 386
+  },
+  "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": 2
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 2.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.1
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.02.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.11, urban signal 0.08, 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 2, 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/navrongo_malaria/navrongo_malaria_s0055_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0055_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1026095642165912,
+      10.792074257397113,
+      -1.0568304286434744,
+      10.837040337693049
+    ],
+    "centroid": {
+      "lon": -1.0797199964300328,
+      "lat": 10.81455729754508
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 7,
+    "class": "low",
+    "confidence": 0.39,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      25
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0055_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1026095642165912,
+        10.792074257397113,
+        -1.0568304286434744,
+        10.837040337693049
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.39
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.1579,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 398
+  },
+  "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": 2
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 2.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.1
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.02.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.12, urban signal 0.08, 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 2, 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/navrongo_malaria/navrongo_malaria_s0058_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0058_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -0.9409533644825652,
+      10.934456202844292,
+      -0.8951523457720623,
+      10.979422283140227
+    ],
+    "centroid": {
+      "lon": -0.9180528551273137,
+      "lat": 10.95693924299226
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 7,
+    "class": "low",
+    "confidence": 0.4,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      25
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0058_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -0.9409533644825652,
+        10.934456202844292,
+        -0.8951523457720623,
+        10.979422283140227
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.4
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.5575,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 4,
+    "urban_or_building_features_in_chip": 868
+  },
+  "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": 2
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 2.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.1
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.05.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.16, 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 2, 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/navrongo_malaria/navrongo_malaria_s0059_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.164860743356915,
+      10.756575968834065,
+      -1.1190870163611015,
+      10.801542049130001
+    ],
+    "centroid": {
+      "lon": -1.1419738798590082,
+      "lat": 10.779059008982033
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 5,
+    "class": "low",
+    "confidence": 0.37,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      23
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0059_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.164860743356915,
+        10.756575968834065,
+        -1.1190870163611015,
+        10.801542049130001
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.37
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.8092,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 4,
+    "urban_or_building_features_in_chip": 241
+  },
+  "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": 1
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 1.",
+      "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 0.08.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.08, urban signal 0.05, 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 1, 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/navrongo_malaria/navrongo_malaria_s0062_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0062_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -0.9813160953910783,
+      10.95096446126635,
+      -0.9355125198175321,
+      10.995930541562286
+    ],
+    "centroid": {
+      "lon": -0.9584143076043052,
+      "lat": 10.973447501414318
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 6,
+    "class": "low",
+    "confidence": 0.4,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      24
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0062_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -0.9813160953910783,
+        10.95096446126635,
+        -0.9355125198175321,
+        10.995930541562286
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.4
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.5879,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 2,
+    "urban_or_building_features_in_chip": 1311
+  },
+  "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": 1
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 1.",
+      "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 0.09.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.16, urban signal 0.26, 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 1, 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/navrongo_malaria/navrongo_malaria_s0063_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0063_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.0954173202117576,
+      10.793993949753228,
+      -1.0496378916138738,
+      10.838960030049163
+    ],
+    "centroid": {
+      "lon": -1.0725276059128157,
+      "lat": 10.816476989901195
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 7,
+    "class": "low",
+    "confidence": 0.39,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      25
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0063_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.0954173202117576,
+        10.793993949753228,
+        -1.0496378916138738,
+        10.838960030049163
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.39
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.1922,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 1,
+    "waterway_features_in_chip": 0,
+    "urban_or_building_features_in_chip": 440
+  },
+  "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": 2
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 2.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.1
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.02.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.12, urban signal 0.09, 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 2, 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/navrongo_malaria/navrongo_malaria_s0064_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0064_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1065924121061264,
+      10.860438126029102,
+      -1.060802807371507,
+      10.905404206325038
+    ],
+    "centroid": {
+      "lon": -1.0836976097388167,
+      "lat": 10.88292116617707
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 17,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      35
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0064_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1065924121061264,
+        10.860438126029102,
+        -1.060802807371507,
+        10.905404206325038
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.7522,
+    "health_facilities_in_chip": 8,
+    "schools_or_waterpoints_in_chip": 25,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 7149
+  },
+  "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": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.03.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.08, and school/waterpoint signal 0.31.",
+      "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/navrongo_malaria/navrongo_malaria_s0065_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0065_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.115492328210815,
+      10.86235044725868,
+      -1.0697024296194095,
+      10.907316527554615
+    ],
+    "centroid": {
+      "lon": -1.0925973789151122,
+      "lat": 10.884833487406647
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 17,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      35
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0065_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.115492328210815,
+        10.86235044725868,
+        -1.0697024296194095,
+        10.907316527554615
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.7564,
+    "health_facilities_in_chip": 8,
+    "schools_or_waterpoints_in_chip": 26,
+    "waterway_features_in_chip": 2,
+    "urban_or_building_features_in_chip": 6966
+  },
+  "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": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.04.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.08, and school/waterpoint signal 0.33.",
+      "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/navrongo_malaria/navrongo_malaria_s0068_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1004616350083396,
+      10.737410197894027,
+      -1.0546908203064216,
+      10.782376278189963
+    ],
+    "centroid": {
+      "lon": -1.0775762276573806,
+      "lat": 10.759893238041995
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 11,
+    "class": "low",
+    "confidence": 0.42,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      29
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0068_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1004616350083396,
+        10.737410197894027,
+        -1.0546908203064216,
+        10.782376278189963
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.42
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.9817,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 430
+  },
+  "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 0.02.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.1, urban signal 0.09, 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 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/navrongo_malaria/navrongo_malaria_s0069_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.0942947140138226,
+      10.750381479074127,
+      -1.048521928889213,
+      10.795347559370063
+    ],
+    "centroid": {
+      "lon": -1.0714083214515178,
+      "lat": 10.772864519222095
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 11,
+    "class": "low",
+    "confidence": 0.41,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      29
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0069_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.0942947140138226,
+        10.750381479074127,
+        -1.048521928889213,
+        10.795347559370063
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.41
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 0.9559,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 363
+  },
+  "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 0.01.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.1, urban signal 0.07, 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 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/navrongo_malaria/navrongo_malaria_s0072_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0072_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.1014664209112979,
+      10.723872051908494,
+      -1.0556976600599401,
+      10.76883813220443
+    ],
+    "centroid": {
+      "lon": -1.078582040485619,
+      "lat": 10.746355092056461
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 11,
+    "class": "low",
+    "confidence": 0.41,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      29
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0072_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.1014664209112979,
+        10.723872051908494,
+        -1.0556976600599401,
+        10.76883813220443
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.41
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.0123,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 254
+  },
+  "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 0.02.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.1, urban signal 0.05, 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 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/navrongo_malaria/navrongo_malaria_s0073_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0073_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.107250500262442,
+      10.861730326750997,
+      -1.0614606969678382,
+      10.906696407046933
+    ],
+    "centroid": {
+      "lon": -1.08435559861514,
+      "lat": 10.884213366898965
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 17,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      35
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0073_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.107250500262442,
+        10.861730326750997,
+        -1.0614606969678382,
+        10.906696407046933
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.7557,
+    "health_facilities_in_chip": 8,
+    "schools_or_waterpoints_in_chip": 26,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 7316
+  },
+  "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": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.03.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.08, and school/waterpoint signal 0.33.",
+      "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/navrongo_malaria/navrongo_malaria_s0074_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0074_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.117086959574509,
+      10.864262915609018,
+      -1.0712967670489226,
+      10.909228995904954
+    ],
+    "centroid": {
+      "lon": -1.0941918633117158,
+      "lat": 10.886745955756986
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 17,
+    "class": "low",
+    "confidence": 0.56,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      35
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0074_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.117086959574509,
+        10.864262915609018,
+        -1.0712967670489226,
+        10.909228995904954
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.56
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 5.7559,
+    "health_facilities_in_chip": 8,
+    "schools_or_waterpoints_in_chip": 25,
+    "waterway_features_in_chip": 2,
+    "urban_or_building_features_in_chip": 6804
+  },
+  "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": 0.2
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.04.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.58, urban signal 1.0, health-facility signal 0.08, and school/waterpoint signal 0.31.",
+      "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/navrongo_malaria/navrongo_malaria_s0075_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0075_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -0.9066430078006068,
+      10.914029642923246,
+      -0.8608451471774935,
+      10.958995723219182
+    ],
+    "centroid": {
+      "lon": -0.8837440774890502,
+      "lat": 10.936512683071214
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 5,
+    "class": "low",
+    "confidence": 0.38,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      23
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0075_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -0.9066430078006068,
+        10.914029642923246,
+        -0.8608451471774935,
+        10.958995723219182
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.38
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.8958,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 1,
+    "urban_or_building_features_in_chip": 301
+  },
+  "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": 1
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 1.",
+      "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 0.19, 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 1, 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/navrongo_malaria/navrongo_malaria_s0078_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.0740765087831357,
+      10.978791807363548,
+      -1.0282686139476789,
+      11.023757887659484
+    ],
+    "centroid": {
+      "lon": -1.0511725613654073,
+      "lat": 11.001274847511516
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 11,
+    "class": "low",
+    "confidence": 0.42,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      29
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0078_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.0740765087831357,
+        10.978791807363548,
+        -1.0282686139476789,
+        11.023757887659484
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.42
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.4268,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 6,
+    "urban_or_building_features_in_chip": 784
+  },
+  "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": 0.15
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.09.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.14, urban signal 0.16, 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/navrongo_malaria/navrongo_malaria_s0079_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.06587403153072,
+      10.971029996827578,
+      -1.020067342624478,
+      11.015996077123514
+    ],
+    "centroid": {
+      "lon": -1.042970687077599,
+      "lat": 10.993513036975546
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 11,
+    "class": "low",
+    "confidence": 0.42,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      29
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0079_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.06587403153072,
+        10.971029996827578,
+        -1.020067342624478,
+        11.015996077123514
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.42
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.5646,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 6,
+    "urban_or_building_features_in_chip": 801
+  },
+  "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": 0.15
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.1.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.16, urban signal 0.16, 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/navrongo_malaria/navrongo_malaria_s0080_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0080_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.064727769021252,
+      10.984842922725177,
+      -1.0189189334149273,
+      11.029809003021112
+    ],
+    "centroid": {
+      "lon": -1.0418233512180897,
+      "lat": 11.007325962873145
+    }
+  },
+  "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": "navrongo_malaria_s0080_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.064727769021252,
+        10.984842922725177,
+        -1.0189189334149273,
+        11.029809003021112
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.41
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.4877,
+    "health_facilities_in_chip": 0,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 2,
+    "urban_or_building_features_in_chip": 679
+  },
+  "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": 0.15
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.04.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.15, 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 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/navrongo_malaria/navrongo_malaria_s0081_label_positive_jitter_risk_tile.json

@@ -0,0 +1,146 @@
+{
+  "schema_version": "vectoros-risk-tile-v0.2",
+  "risk_tile_id": "navrongo_malaria_s0081_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": "navrongo_malaria",
+    "admin0": "Ghana",
+    "name": "Navrongo/Kassena-Nankana, Ghana",
+    "bbox": [
+      -1.0208772946742712,
+      10.931694391068902,
+      -0.97507670332476,
+      10.976660471364838
+    ],
+    "centroid": {
+      "lon": -0.9979769989995156,
+      "lat": 10.95417743121687
+    }
+  },
+  "time_window": {
+    "start_date": "2025-12-31",
+    "end_date": "2025-12-31",
+    "lag_days_used": [
+      7,
+      14,
+      21
+    ]
+  },
+  "risk": {
+    "score": 7,
+    "class": "low",
+    "confidence": 0.39,
+    "trend_vs_previous_period": "unknown",
+    "uncertainty_interval": [
+      0,
+      25
+    ],
+    "calibration_model_version": "weak_rule_seed_v0.2"
+  },
+  "hazards": [
+    {
+      "hazard_id": "navrongo_malaria_s0081_label_positive_jitter_hazard_001",
+      "type": "anopheles_habitat_proxy",
+      "geometry_ref": "chip_bbox",
+      "bbox": [
+        -1.0208772946742712,
+        10.931694391068902,
+        -0.97507670332476,
+        10.976660471364838
+      ],
+      "evidence_layers": [
+        "MAP/GBIF labels",
+        "waterway context",
+        "rainfall",
+        "settlement/exposure context"
+      ],
+      "confidence": 0.39
+    }
+  ],
+  "exposure": {
+    "population_signal_p90": 1.5645,
+    "health_facilities_in_chip": 1,
+    "schools_or_waterpoints_in_chip": 0,
+    "waterway_features_in_chip": 3,
+    "urban_or_building_features_in_chip": 482
+  },
+  "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": 2
+    }
+  },
+  "rationale": [
+    {
+      "claim": "Weak label signal: MAP malaria survey and GBIF Anopheles occurrence count is 2.",
+      "evidence_layer": "label_count_features",
+      "evidence_ref": "numeric_features.label_counts",
+      "confidence": 0.1
+    },
+    {
+      "claim": "Environmental context includes JRC occurrence mean 0.0 percent, rainfall signal 0.0, and OSM water-context signal 0.04.",
+      "evidence_layer": "JRC_GSW_CHIRPS_OSM",
+      "evidence_ref": "numeric_features.raster_stats_and_osm_counts",
+      "confidence": 0.58
+    },
+    {
+      "claim": "Exposure context includes population signal 0.16, 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 2, 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"
+  }
+}