{"id":"W2067891232","doi":"10.1080/10550880903028452","title":"Non-Medical Use of Prescription Analgesics: A Three-Year National Longitudinal Study","year":2009,"lang":"en","type":"article","venue":"Journal of Addictive Diseases","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Gender and Health","funders":"National Institute on Drug Abuse","keywords":"Medicine; Odds ratio; Medical prescription; Confidence interval; Alcohol use disorder; Logistic regression; Psychiatry; Epidemiology; National Health Interview Survey; Population; Environmental health; Alcohol; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001452337,0.0002195354,0.0003403101,0.0006763957,0.000998091,0.0005792329,0.0004366579,0.0006354586,0.0009229792],"category_scores_gemma":[0.001939237,0.0004231869,0.0005767819,0.001224414,0.0001741615,0.0006331492,0.0007571952,0.001108673,0.0003283748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000580941,"about_ca_system_score_gemma":0.001038819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04635809,"about_ca_topic_score_gemma":0.08825006,"domain_scores_codex":[0.999431,0.0001705228,0.00005977363,0.00009175044,0.0001220214,0.0001249163],"domain_scores_gemma":[0.9987795,0.00009924159,0.0004227321,0.0001325216,0.0002621604,0.0003039032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008365143,0.0001449793,0.9984402,0.000006688442,0.00006534866,0.00004821147,0.0002010728,0.00001602315,0.0001327758,0.00001785709,0.0002393913,0.0006038817],"study_design_scores_gemma":[0.000008470967,0.00007632886,0.9993114,0.000004628875,0.00002349959,0.00007098651,0.0002030326,0.00006592728,0.00002363942,0.000009876308,0.0001992874,0.000002892499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971553,0.0001485408,0.000104846,0.000122731,0.000007937169,0.00003580954,0.002046027,0.000004775766,0.0003739321],"genre_scores_gemma":[0.9960663,0.0001626564,0.0002248404,0.0001508021,0.000008446367,0.00008809202,0.002802629,0.000002807812,0.0004934587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04635809,"threshold_uncertainty_score":0.0921765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048419459410601,"score_gpt":0.3218981033743166,"score_spread":0.2914139087802106,"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."}}