{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003011367,0.00008441912,0.0001948577,0.00007513617,0.0001328763,0.000009999619,0.0001944346,0.00001790263,0.00004391841],"category_scores_gemma":[0.00009343265,0.00005683535,0.00001628525,0.0002332321,0.0003453434,0.0001643503,0.00004935549,0.00003296782,0.00000170799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001526351,"about_ca_system_score_gemma":0.0003391604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1805318,"about_ca_topic_score_gemma":0.643487,"domain_scores_codex":[0.9990373,0.00002463938,0.0002938173,0.0002583848,0.000132003,0.0002538911],"domain_scores_gemma":[0.9991993,0.0003049977,0.0001459766,0.0001985139,0.00009957679,0.00005161869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001001085,0.00002611275,0.9805847,0.000009499225,0.00001145088,3.892951e-7,0.0009986904,4.197563e-7,0.002053337,0.003953675,0.00008200501,0.01217954],"study_design_scores_gemma":[0.0005626114,0.00008913152,0.9956172,0.0000198566,0.000009088598,0.000004629357,0.002070735,0.000004293948,0.0006592093,0.0006510486,0.0002250064,0.00008721634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956659,0.000091662,0.0023295,0.0007338253,0.0001469384,0.0003024183,0.0001413366,0.000008075463,0.0005803135],"genre_scores_gemma":[0.9993384,0.00002502773,0.0002667777,0.00005353961,0.00001639326,0.00005081591,0.000005600136,0.000005099415,0.000238369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4629552,"threshold_uncertainty_score":0.8249251,"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."}}