{"id":"W2921616123","doi":"10.1001/jamapsychiatry.2019.0174","title":"Prediction Models for Suicide Attempts and Deaths","year":2019,"lang":"en","type":"review","venue":"JAMA Psychiatry","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":524,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"PsycINFO; Poison control; Veterans Affairs; Predictive modelling; MEDLINE; Cochrane Library; Predictive validity; Population; Medicine; Suicide prevention; Injury prevention; Suicide attempt; Psychiatry; Meta-analysis; Clinical psychology; Medical emergency; Machine learning; Computer science; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02045152,0.001883388,0.00387761,0.008184968,0.0005076334,0.003350792,0.003103324,0.00248887,0.01012966],"category_scores_gemma":[0.1482643,0.000871168,0.008745773,0.007145857,0.000833253,0.004022864,0.001351069,0.003518685,0.002016254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002954311,"about_ca_system_score_gemma":0.005611774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066179,"about_ca_topic_score_gemma":0.009186251,"domain_scores_codex":[0.9838216,0.008830195,0.003313672,0.001310403,0.002567995,0.000156199],"domain_scores_gemma":[0.8946897,0.0905895,0.007704924,0.001195627,0.005506167,0.0003141205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0007860062,0.0002324256,0.04280696,0.3658679,0.02089486,0.0005623759,0.001059627,0.01267549,0.0001040147,0.01891667,0.04743106,0.4886625],"study_design_scores_gemma":[0.001184326,0.001027493,0.03667087,0.6581634,0.05074765,0.002223043,0.001489343,0.0430693,0.0005319815,0.07968635,0.1246739,0.0005324146],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006871119,0.9348626,0.02495173,0.01175509,0.002150908,0.001978292,0.009800484,0.0003349957,0.007294936],"genre_scores_gemma":[0.1950474,0.744195,0.04068401,0.00424485,0.001897274,0.004457441,0.007654202,0.00008808276,0.001731781],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02045152,"threshold_uncertainty_score":0.1081592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.130834958258833,"score_gpt":0.382674556490706,"score_spread":0.251839598231873,"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."}}