{"id":"W2516415954","doi":"10.1016/j.ssci.2016.06.017","title":"Characteristics of railway suicides in Canada and comparison with accidental railway fatalities: Implications for prevention","year":2016,"lang":"en","type":"article","venue":"Safety Science","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Accidental; Coroner; Suicide prevention; Injury prevention; Poison control; Occupational safety and health; Psychosocial; Human factors and ergonomics; Suicide methods; Environmental health; Medicine; Medical emergency; Forensic engineering; Psychiatry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000775935,0.0003176808,0.0005303596,0.003930761,0.004694006,0.001938462,0.001618179,0.0009253954,0.002823816],"category_scores_gemma":[0.00456589,0.0003687135,0.0009082141,0.007486368,0.001322042,0.0008497929,0.001298644,0.001093912,0.0001908545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01935372,"about_ca_system_score_gemma":0.03041326,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9783392,"about_ca_topic_score_gemma":0.9866881,"domain_scores_codex":[0.9987947,0.0001273243,0.0001091342,0.0001664693,0.0003274237,0.0004748384],"domain_scores_gemma":[0.9959883,0.0002843884,0.0009780019,0.0001047109,0.001504073,0.00114055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006382982,0.00004978206,0.9967934,0.0000126064,0.00003964875,0.00008086871,0.0009588554,0.0000504189,0.00006672354,0.0001039278,0.0002138687,0.001566057],"study_design_scores_gemma":[0.00000175789,0.00001568032,0.9966854,0.000008662717,0.000006485749,0.00003482589,0.003063502,0.00004039273,0.000008032536,0.00001845579,0.0001120234,0.000004705985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978822,0.000386482,0.00004074058,0.0001991998,0.00001060628,0.00001638127,0.0005128842,0.000002658041,0.000948767],"genre_scores_gemma":[0.9987062,0.0003996541,0.00005138315,0.00004927225,0.000005175991,0.000008419927,0.0004103347,0.000003586302,0.0003660178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0216608,"threshold_uncertainty_score":0.1404217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286299562111578,"score_gpt":0.3242666070379792,"score_spread":0.2914036114168634,"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."}}