{"id":"W4392662425","doi":"10.24095/hpcdp.44.3.03","title":"Accidental substance-related acute toxicity deaths in older adults in 2016 and 2017: a national chart review study","year":2024,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Coroner; Accidental; Medical examiner; Injury prevention; Poison control; Population; Polysubstance dependence; Cause of death; Suicide prevention; Demography; Occupational safety and health; Depression (economics); Gerontology; Substance abuse; Medical emergency; Disease; Psychiatry; Environmental health; Internal medicine","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":[0.002006482,0.0002303305,0.0005133032,0.004043575,0.001496232,0.001311577,0.0006992602,0.0003141195,0.001353541],"category_scores_gemma":[0.007535261,0.000279634,0.0006133483,0.009288947,0.0004774666,0.0006832543,0.001043062,0.0003945666,0.0002344405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01228477,"about_ca_system_score_gemma":0.03240259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8209426,"about_ca_topic_score_gemma":0.8936594,"domain_scores_codex":[0.9972344,0.0002131956,0.000720197,0.0003878785,0.001045012,0.0003993428],"domain_scores_gemma":[0.987637,0.0006972486,0.004614795,0.0003649755,0.005732744,0.0009531617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005092631,0.00001777912,0.9852113,0.0006184447,0.00006858415,0.0001822995,0.001046284,0.0000471327,0.00006871181,0.00009645175,0.005153266,0.007438743],"study_design_scores_gemma":[0.000006612661,0.00001382818,0.9935899,0.0004410052,0.0000456382,0.0001534248,0.001315826,0.00006591157,0.00005719467,0.00001579225,0.004285538,0.000009322768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8705801,0.01252379,0.0006233208,0.001372544,0.00008354658,0.001047869,0.1072561,0.00007350157,0.006439184],"genre_scores_gemma":[0.9594247,0.008018927,0.0009329761,0.0004989757,0.00005377251,0.0005893596,0.02928434,0.00001730995,0.001179637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1790574,"threshold_uncertainty_score":0.3602237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04672068816456933,"score_gpt":0.4272780572791324,"score_spread":0.3805573691145631,"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."}}