{"id":"W62411187","doi":"10.24095/hpcdp.31.4.05","title":"Can we use medical examiners’ records for suicide surveillance and prevention research in Nova Scotia?","year":2011,"lang":"en","type":"article","venue":"Chronic diseases and injuries in Canada","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Capital District Health Authority; Dalhousie University","funders":"Dalhousie University; U.S. Department of Justice","keywords":"Nova scotia; Medical record; Medicine; Family medicine; Population; Medical examiner; Record linkage; Census; Suicide prevention; Medical emergency; Poison control; Gerontology; Environmental health; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01958301,0.0002946791,0.0006838298,0.005103003,0.001310086,0.002394225,0.001790605,0.0006880678,0.001469445],"category_scores_gemma":[0.1133302,0.0005675672,0.0004490068,0.00771971,0.0008461689,0.001057037,0.001714379,0.0005192098,0.0003811347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006757585,"about_ca_system_score_gemma":0.02211124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7880548,"about_ca_topic_score_gemma":0.8739219,"domain_scores_codex":[0.9854524,0.008461985,0.002235153,0.0008144547,0.002159151,0.0008767836],"domain_scores_gemma":[0.9050248,0.03023386,0.03145778,0.01061668,0.01928698,0.00337986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001379482,0.00002536491,0.9664586,0.0006401375,0.0001181829,0.0001295464,0.001993271,0.0001251752,0.0001169882,0.0001643499,0.004414493,0.02567595],"study_design_scores_gemma":[0.00003764995,0.00006032193,0.9864764,0.001491925,0.0001049998,0.00008437996,0.003139389,0.0003894593,0.0001699351,0.0001060626,0.007913903,0.0000255568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9109663,0.0140228,0.003140326,0.01638517,0.0006256081,0.001933833,0.04141985,0.00007926841,0.01142675],"genre_scores_gemma":[0.9683054,0.006690797,0.008836595,0.002648247,0.0001927518,0.001228649,0.0106912,0.00001495994,0.00139141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2119452,"threshold_uncertainty_score":0.4263868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1063983099309647,"score_gpt":0.3733361780741126,"score_spread":0.2669378681431478,"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."}}