{"id":"W4387101253","doi":"10.2196/46364","title":"Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; Leon Levy Foundation; Tommy Fuss Fund","keywords":"Preprint; Electronic health record; Health records; Medicine; Psychology; Computer science; World Wide Web; Political science; Health care","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":[0.006237345,0.0004330121,0.0005772042,0.003020304,0.0005359741,0.001209282,0.00104693,0.0008870512,0.001486597],"category_scores_gemma":[0.03459316,0.0004193518,0.0008141638,0.001777824,0.0007599617,0.001136694,0.001413842,0.0009142468,0.0007971883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007095886,"about_ca_system_score_gemma":0.0008127681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004201651,"about_ca_topic_score_gemma":0.005737685,"domain_scores_codex":[0.994932,0.001836604,0.000784557,0.0009758639,0.001130981,0.0003399624],"domain_scores_gemma":[0.9709296,0.01227377,0.007636015,0.003577193,0.004449921,0.001133658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001592103,0.0001259456,0.9967498,0.00001549353,0.00005203401,0.00003732671,0.0001730474,0.00004607277,0.00007776972,0.00001844041,0.0001259835,0.00241908],"study_design_scores_gemma":[0.00005631796,0.000419223,0.9932539,0.00002410016,0.00008941258,0.0005975215,0.0004783444,0.004400359,0.0002396662,0.00007770559,0.0003438108,0.00001957596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984687,0.00006503637,0.0006499507,0.00002490186,0.000007136402,0.0001183605,0.000427816,0.000008474591,0.0002296255],"genre_scores_gemma":[0.9977394,0.00006873579,0.0009259796,0.00002629213,0.00001435927,0.00009239035,0.001004852,0.000006002717,0.0001219052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006237345,"threshold_uncertainty_score":0.03298664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2278447585970135,"score_gpt":0.512426970783762,"score_spread":0.2845822121867485,"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."}}