{"id":"W2919287331","doi":"10.1027/0227-5910/a000572","title":"What Are We Aiming For? Comparing Suicide by Firearm in Toronto With the Five Largest Metropolitan Areas in the United States","year":2019,"lang":"en","type":"article","venue":"Crisis","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Metropolitan area; Demography; Suicide rates; Suicide prevention; Poison control; Injury prevention; Occupational safety and health; Geography; Population; Gerontology; Suicide methods; Medicine; Environmental health; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004009431,0.0001820355,0.0003073724,0.00007815455,0.0001300881,0.00009676429,0.000326058,0.0000570805,0.0001429809],"category_scores_gemma":[0.0000211937,0.000102413,0.00005387835,0.0002916647,0.00005202617,0.0001904799,0.0000506328,0.0001848208,0.00002432374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002453722,"about_ca_system_score_gemma":0.000007640525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06926096,"about_ca_topic_score_gemma":0.08366393,"domain_scores_codex":[0.9987336,0.0001925461,0.000205476,0.0002860547,0.0001532242,0.0004291126],"domain_scores_gemma":[0.998597,0.0008249281,0.00009431512,0.0003950282,0.00005840552,0.00003028126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003185645,0.0001822892,0.8223045,0.0000403553,0.0002339244,0.00002068528,0.08322336,0.00008669886,0.00001020052,0.001669932,0.09166386,0.0002455589],"study_design_scores_gemma":[0.001028531,0.00011279,0.1048557,0.0000463949,0.00004477052,0.00000306096,0.8846649,0.0002121218,0.00003595657,0.0002098149,0.008617355,0.0001686044],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775903,0.009180815,0.00002582689,0.01026072,0.000191976,0.0005004177,0.00002141402,0.00002634997,0.002202204],"genre_scores_gemma":[0.9963057,0.0006231902,0.00001610763,0.002389719,0.00003644008,0.0001487987,0.00005161259,0.0000232288,0.0004051814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8014416,"threshold_uncertainty_score":0.9369369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04281113223172461,"score_gpt":0.3389205959772824,"score_spread":0.2961094637455578,"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."}}