{"id":"W1967114531","doi":"10.1080/09595230801956124","title":"Comparing heroin users and prescription opioid users in a Canadian multi‐site population of illicit opioid users","year":2008,"lang":"en","type":"article","venue":"Drug and Alcohol Review","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Heroin; Medical prescription; Multinomial logistic regression; Medicine; Context (archaeology); Cohort; Population; Opioid; Pharmacy; Logistic regression; Psychiatry; Family medicine; Drug; Environmental health; Pharmacology; Internal medicine; Geography; Computer science","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":[0.0008367929,0.0005823183,0.000535768,0.002557181,0.003215024,0.001120926,0.001715905,0.0007726262,0.001715036],"category_scores_gemma":[0.002334338,0.0004915356,0.0009316968,0.00397881,0.0007873118,0.0004829779,0.001379851,0.0006821416,0.0002335722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01128631,"about_ca_system_score_gemma":0.01174418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9845152,"about_ca_topic_score_gemma":0.9873978,"domain_scores_codex":[0.99892,0.00007026649,0.00005989504,0.0002175865,0.0004391688,0.0002931076],"domain_scores_gemma":[0.9984273,0.00009970188,0.0003773129,0.00006044354,0.000601884,0.0004333876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006889206,0.00003433883,0.9969873,0.00003171267,0.0000447092,0.0000678568,0.0006921812,0.00004030786,0.0002640467,0.00002950072,0.0002275537,0.001511515],"study_design_scores_gemma":[0.000003457103,0.00003686427,0.9986796,0.00001065367,0.00001927578,0.00005570779,0.0008702628,0.0001113364,0.00003652768,0.000007746273,0.0001625242,0.000006089706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978982,0.000189297,0.00005422612,0.00006934773,0.000003332728,0.00004864377,0.001295977,0.000003409458,0.0004375367],"genre_scores_gemma":[0.9980304,0.0002485709,0.0001942699,0.00004970921,0.000003363723,0.00003051208,0.001100977,0.000002455799,0.0003397462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548481,"threshold_uncertainty_score":0.08188826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04139179998033055,"score_gpt":0.2973132588205976,"score_spread":0.2559214588402671,"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."}}