{"id":"W2259027775","doi":"10.1136/injuryprev-2015-041604","title":"Trends and sex differences in prescription opioid deaths in British Columbia, Canada","year":2015,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medical prescription; Medicine; Opioid; Poison control; Demography; Injury prevention; Methadone; Medical emergency; Psychiatry; Internal medicine; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0004863075,0.0002970987,0.0004007216,0.003147544,0.002289721,0.001245175,0.001278164,0.0004410526,0.003800015],"category_scores_gemma":[0.002378702,0.0002985419,0.0006189334,0.006237353,0.000547425,0.0004823724,0.0006424611,0.0008330544,0.0003685571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03018301,"about_ca_system_score_gemma":0.0263073,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970976,"about_ca_topic_score_gemma":0.9987581,"domain_scores_codex":[0.999176,0.00004140392,0.00007436199,0.0001113195,0.0002903432,0.0003065381],"domain_scores_gemma":[0.9965392,0.0001591168,0.0005553676,0.00006062708,0.002153296,0.0005323123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000105004,0.00002759881,0.9791929,0.00009931833,0.00009225996,0.0001133248,0.0008345062,0.0001534499,0.0001786349,0.0001980592,0.006831702,0.0121734],"study_design_scores_gemma":[0.00000485182,0.000009245394,0.9958419,0.00007200268,0.00002754572,0.00005252289,0.001244599,0.0002219364,0.00004999333,0.00003000637,0.002432704,0.0000126811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484847,0.009288463,0.0002066195,0.002952875,0.00009931693,0.00006252572,0.02725855,0.00007706074,0.01156991],"genre_scores_gemma":[0.9865182,0.003726815,0.0002268661,0.0003865269,0.00001928634,0.00002538183,0.005755843,0.00002191492,0.003319184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03018301,"threshold_uncertainty_score":0.2189941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695057845413318,"score_gpt":0.2637021241409535,"score_spread":0.2467515456868203,"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."}}