{"id":"W4386531289","doi":"10.1002/pds.5693","title":"Defining opioid naïve and implications for monitoring opioid use: A population‐based study in Alberta, Canada","year":2023,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Physicians and Surgeons of Ontario; University of Alberta","funders":"Government of Alberta","keywords":"Medicine; Opioid; Pharmacoepidemiology; Population; Public health; Anesthesia; Internal medicine; Pharmacology; Medical prescription; Environmental health","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":[0.002155026,0.0003851975,0.0003821855,0.001822649,0.003127953,0.001842985,0.002014395,0.000535813,0.001382063],"category_scores_gemma":[0.00389367,0.0003291465,0.0004915593,0.004785233,0.001553572,0.000494209,0.0009407157,0.0009406821,0.0001515541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04373541,"about_ca_system_score_gemma":0.0594799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962193,"about_ca_topic_score_gemma":0.9978555,"domain_scores_codex":[0.9978924,0.0002010758,0.0001149257,0.000184612,0.001162677,0.0004442601],"domain_scores_gemma":[0.996599,0.0003100746,0.0007240191,0.00007333547,0.001501421,0.0007921047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006155502,0.00007040667,0.9901701,0.00008815358,0.00004209948,0.0001495112,0.001341107,0.0001125646,0.0001618315,0.0001514919,0.001385312,0.006265841],"study_design_scores_gemma":[0.000009890917,0.00003600685,0.9956813,0.00008854824,0.00002892092,0.00008775089,0.003029092,0.0002766614,0.00004004049,0.00004032657,0.0006686931,0.0000127307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990166,0.001992231,0.0003215853,0.001153694,0.00003264828,0.0001582754,0.0023546,0.00001495745,0.003805968],"genre_scores_gemma":[0.9962788,0.001112375,0.0005165769,0.0004873479,0.00001383419,0.00003032674,0.0008193949,0.000004763784,0.0007366352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04373541,"threshold_uncertainty_score":0.3173241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03853573158377777,"score_gpt":0.3691192914584644,"score_spread":0.3305835598746866,"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."}}