{"id":"W2320447111","doi":"10.1503/cmaj.150349","title":"Sensitivity and specificity of administrative mortality data for identifying prescription opioid–related deaths","year":2015,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of British Columbia; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Coroner; Medical prescription; Medicine; Opioid; Public health; Pharmacoepidemiology; Gold standard (test); Medical emergency; Emergency medicine; Poison control; Injury prevention; Internal medicine; Pharmacology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04385146,0.001004792,0.001129768,0.006126891,0.0007767899,0.004029932,0.001315833,0.002353703,0.0009420894],"category_scores_gemma":[0.168699,0.0006868139,0.002211742,0.002149685,0.001270836,0.002017919,0.001725816,0.001113017,0.0004865181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809167,"about_ca_system_score_gemma":0.002578712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067142,"about_ca_topic_score_gemma":0.01213319,"domain_scores_codex":[0.9609689,0.01920872,0.006550039,0.00423864,0.007193728,0.001840088],"domain_scores_gemma":[0.8670278,0.1027129,0.01033991,0.00516072,0.0129498,0.001808974],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003711084,0.00005653585,0.9846,0.00009985096,0.0003963412,0.00004385039,0.0001193282,0.004022145,0.0002508506,0.0002396845,0.0004224226,0.009377841],"study_design_scores_gemma":[0.0001070873,0.0004579343,0.845531,0.0003672875,0.001280929,0.001242686,0.0005101904,0.1420463,0.003477773,0.002218437,0.002654466,0.0001058803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693995,0.003810023,0.01412701,0.001020479,0.0001873369,0.0003830091,0.002627942,0.0002019577,0.008242887],"genre_scores_gemma":[0.9930679,0.0002947339,0.005477903,0.0001159855,0.00004653238,0.00004375646,0.0008429736,0.00001378111,0.00009659607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9561486,"threshold_uncertainty_score":0.2319115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.108029217506584,"score_gpt":0.3602832651101115,"score_spread":0.2522540476035275,"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."}}