{"id":"W2556785740","doi":"10.1503/cmaj.160356","title":"Effective Canadian policy to reduce harms from prescription opioids: learning from past failures","year":2016,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; BC Centre for Disease Control; University of Toronto; University of British Columbia; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research","keywords":"Medical prescription; Addiction; Medicine; Opioid; Prescription Drug Misuse; Public health; Psychiatry; Pharmacology; Opioid use disorder; Nursing","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":[0.03519057,0.001487072,0.001492505,0.004210799,0.01863121,0.01344036,0.006375116,0.01524924,0.02280497],"category_scores_gemma":[0.09454146,0.0007266811,0.001226328,0.004782754,0.01656481,0.009213417,0.007554373,0.02289937,0.002389569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1233441,"about_ca_system_score_gemma":0.4583758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9499934,"about_ca_topic_score_gemma":0.9721162,"domain_scores_codex":[0.9733337,0.0072516,0.0007308604,0.001083553,0.01180432,0.005795924],"domain_scores_gemma":[0.8848824,0.02356109,0.002507193,0.002873143,0.05457275,0.03160347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008954639,0.0001553074,0.003111076,0.0008245421,0.0001064954,0.0002290102,0.002376308,0.0008152422,0.0001134163,0.06042971,0.8413953,0.09035415],"study_design_scores_gemma":[0.0004033305,0.000154477,0.01526241,0.01018034,0.0003127096,0.000222966,0.01492165,0.002496617,0.0005571211,0.1212733,0.8338563,0.0003587953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009078064,0.0103482,0.0005621125,0.9701636,0.001509584,0.00002771378,0.0001819374,0.00005674943,0.01624227],"genre_scores_gemma":[0.1744405,0.09748772,0.01347447,0.6878269,0.005700398,0.000242482,0.0006660713,0.0003329637,0.01982849],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1233441,"threshold_uncertainty_score":0.894928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005981229714416751,"score_gpt":0.2460483163371806,"score_spread":0.2400670866227638,"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."}}