{"id":"W4210771815","doi":"10.1111/1556-4029.15008","title":"Hangings in Newfoundland and Labrador: A 40‐year retrospective analysis of medical examiner data","year":2022,"lang":"en","type":"review","venue":"Journal of Forensic Sciences","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. John’s Health Sciences Centre; Office of the Chief Medical Examiner; Health Sciences Centre","funders":"","keywords":"Demography; Accidental; Medical examiner; Medicine; Population; Poison control; Suicide prevention; Geography; Injury prevention; Suicide methods; Medical emergency; Environmental health; Suicide rates","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004797162,0.0002011739,0.002023373,0.00170815,0.0001051573,0.00004380136,0.00125241,0.0001353502,0.001455198],"category_scores_gemma":[0.0008097566,0.0001283315,0.0002902678,0.003174613,0.0006906088,0.0001713131,0.0004793959,0.0005479303,0.00000193606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099022,"about_ca_system_score_gemma":0.0003123897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014602,"about_ca_topic_score_gemma":0.002706996,"domain_scores_codex":[0.9967383,0.0002844571,0.0009653095,0.0004189624,0.001330532,0.0002624282],"domain_scores_gemma":[0.9973837,0.0009817943,0.001113476,0.0003598594,0.0000680606,0.00009308771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004395419,0.0001842945,0.1133036,0.0005649633,0.006243594,0.0005345789,0.005322338,0.000001767159,9.634868e-8,0.002151533,0.007019846,0.8646295],"study_design_scores_gemma":[0.001547189,0.001371944,0.1400553,0.002064844,0.0151058,0.00108053,0.01396378,0.0001648672,7.744472e-8,0.0007598842,0.8231223,0.0007634405],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008925098,0.9883855,0.000008000058,0.0001952415,0.0007028232,0.0001017365,0.00005592063,0.000003516249,0.001622139],"genre_scores_gemma":[0.001346509,0.9981006,0.0001966559,0.00005957341,0.0001784131,0.000003543718,0.00001134628,0.000008994201,0.00009434374],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.863866,"threshold_uncertainty_score":0.9994576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1497567944078279,"score_gpt":0.4230537391792054,"score_spread":0.2732969447713776,"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."}}