{"id":"W4391387602","doi":"10.2196/52093","title":"Using EpiCore to Enable Rapid Verification of Potential Health Threats: Illustrated Use Cases and Summary Statistics","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics; Computer science; Data science; Environmental health; Medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0143704,0.0008803039,0.0005095175,0.004999309,0.0006485559,0.001759091,0.0009456029,0.001160942,0.002699738],"category_scores_gemma":[0.0561782,0.000306932,0.001012183,0.003879994,0.000690839,0.002629402,0.001767896,0.0008541351,0.001213966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168162,"about_ca_system_score_gemma":0.0009314061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009749013,"about_ca_topic_score_gemma":0.009052372,"domain_scores_codex":[0.987672,0.004512618,0.001609509,0.001099327,0.004399653,0.0007069118],"domain_scores_gemma":[0.9064212,0.06683032,0.007899833,0.007372504,0.01054555,0.0009306365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00212291,0.000830055,0.628844,0.002916331,0.0007209215,0.002368422,0.004046691,0.0275043,0.00442998,0.005969609,0.07254791,0.2476989],"study_design_scores_gemma":[0.0003704329,0.005396059,0.6105378,0.001360917,0.0009545962,0.005962697,0.009228291,0.1830076,0.02294756,0.00830155,0.1513867,0.0005458612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8821023,0.002261663,0.03629413,0.002027305,0.0001691358,0.002582075,0.04565587,0.0050913,0.02381634],"genre_scores_gemma":[0.9419985,0.001245923,0.02724777,0.0003399685,0.0000933807,0.002012437,0.02353364,0.0003345747,0.003193766],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0143704,"threshold_uncertainty_score":0.07599884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030747116808941,"score_gpt":0.3721334794671409,"score_spread":0.2690587677862467,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}