{"id":"W4389937159","doi":"10.1002/pds.5734","title":"Predicting risk of suicidal behavior from insurance claims data vs. linked data from insurance claims and electronic health records","year":2023,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; U.S. Food and Drug Administration; Hamilton Health Sciences Foundation","keywords":"Medicine; Mental health; Medical record; Harm; Diagnosis code; Psychiatry; Environmental health; Population; Psychology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.009038455,0.0007343846,0.0008360788,0.002777453,0.0002682549,0.001243892,0.0006323773,0.0006194335,0.0009529233],"category_scores_gemma":[0.02795798,0.0003625702,0.001613192,0.001520268,0.0003026807,0.0009546725,0.00120003,0.0007960451,0.0003603943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007037732,"about_ca_system_score_gemma":0.000745322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0121454,"about_ca_topic_score_gemma":0.01308405,"domain_scores_codex":[0.9958712,0.002496804,0.0003480504,0.0005732384,0.0005467555,0.0001638524],"domain_scores_gemma":[0.9807011,0.01083172,0.005126836,0.001397769,0.001410174,0.0005324646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000544343,0.0002418548,0.9824071,0.00005749153,0.0005916927,0.00003408285,0.00007653474,0.006336732,0.0001280038,0.00006788418,0.0002983929,0.009215939],"study_design_scores_gemma":[0.0001568465,0.001054093,0.7960014,0.0001990234,0.0004865565,0.0001877689,0.000322528,0.199523,0.0005804704,0.0008708168,0.0005647679,0.00005268984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950943,0.0003054041,0.002206441,0.0001898914,0.00001377883,0.00006330888,0.001737484,0.00003941591,0.0003500693],"genre_scores_gemma":[0.9928019,0.0001556907,0.003120513,0.00004582478,0.00003012571,0.00003730726,0.003683303,0.000005092535,0.0001202518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0121454,"threshold_uncertainty_score":0.04780048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09941378830956833,"score_gpt":0.4060444120579822,"score_spread":0.3066306237484139,"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."}}