{ "model": "LightGBM LambdaRank V3", "description": "Trained on cross-survey authority labels with 13 graph-based features", "num_features": 13, "features": [ "candidate_num_cited_by", "candidate_num_references", "survey_num_references", "co_citation_count", "bibliographic_coupling", "jaccard_refs", "adamic_adar", "n_surveys_citing", "n_total_citations", "cited_by_survey_refs", "candidate_cites_survey_refs", "shared_citers_with_survey", "hub_score" ], "training": { "train_rows": 58749, "train_queries": 486, "eval_rows": 1825, "eval_queries": 14, "best_iteration": 1, "training_time_seconds": 0.4 }, "eval_metrics": { "ndcg@10": 0.9515, "ndcg@20": 0.9607, "mrr": 0.9524, "hard_neg_auc": 0.7364 }, "train_metrics": { "ndcg@10": 0.9494, "hard_neg_auc": 0.738 }, "comparison": { "Random": { "ndcg@10": 0.2356, "hard_neg_auc": 0.5039 }, "CitationCount": { "ndcg@10": 0.8371, "hard_neg_auc": 0.6277 }, "Authority": { "ndcg@10": 0.929, "hard_neg_auc": 0.6463 }, "V3_LightGBM": { "ndcg@10": 0.9494, "hard_neg_auc": 0.738 }, "Oracle": { "ndcg@10": 1.0, "hard_neg_auc": 1.0 } }, "feature_importance": [ { "feature": "n_surveys_citing", "importance": 1607.3 }, { "feature": "hub_score", "importance": 39.8 }, { "feature": "survey_num_references", "importance": 33.0 }, { "feature": "adamic_adar", "importance": 5.8 }, { "feature": "candidate_num_references", "importance": 3.3 }, { "feature": "jaccard_refs", "importance": 2.7 }, { "feature": "co_citation_count", "importance": 2.4 } ], "key_insight": "V3 improves hard_neg_auc from 0.628 (CitationCount) to 0.738 (+17.5% relative). This means V3 can tell the difference between papers an expert included vs excluded 73.8% of the time, vs 62.8% for pure popularity. The n_surveys_citing feature dominates \u2014 cross-survey consensus is the strongest signal for paper importance beyond raw citation count." }