{"id":"W4387580768","doi":"10.1016/j.addbeh.2023.107890","title":"Determinants of prescription opioid misuse among Black Americans: Evidence from the 2019 National Survey on Drug Use and Health","year":2023,"lang":"en","type":"article","venue":"Addictive Behaviors","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Medical prescription; Medicine; Prescription Drug Misuse; Rurality; Logistic regression; Public health; Opioid; Opioid use disorder; Ethnic group; Demography; Psychiatry; Rural area; Internal medicine; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004236293,0.0001698581,0.0002897743,0.000104209,0.00008928803,0.00002092672,0.00009711301,0.00004667337,0.00003321467],"category_scores_gemma":[0.0003861034,0.0001240852,0.00005964285,0.0003277854,0.0003173648,0.0002001047,0.00005617601,0.0001504522,0.00004196501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001717376,"about_ca_system_score_gemma":0.0002261221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05070186,"about_ca_topic_score_gemma":0.002606499,"domain_scores_codex":[0.9983836,0.00023015,0.0002961572,0.0003639253,0.00051487,0.0002112598],"domain_scores_gemma":[0.998406,0.0007530964,0.0002041281,0.0003114265,0.0002123211,0.0001130614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001288559,0.0002202867,0.9791493,0.00001226779,0.00003604744,0.000006276102,0.004374153,0.00001056281,0.0002630767,0.000001795972,0.01452904,0.001268364],"study_design_scores_gemma":[0.0006319271,0.0003852039,0.9963099,0.0005907746,0.00009149864,5.223062e-7,0.0007121905,0.0001947915,0.0009601369,0.00001381523,0.00002347632,0.00008579763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968557,0.0002509657,0.000004844175,0.0003044234,0.0001015708,0.0008683861,0.001557009,0.00005016242,0.000006910484],"genre_scores_gemma":[0.9973252,0.001278469,0.00007218884,0.0001869468,0.00002716621,0.00006134266,0.0006271392,0.00002621856,0.0003953115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04809536,"threshold_uncertainty_score":0.9556196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09036363325218329,"score_gpt":0.371723743980679,"score_spread":0.2813601107284957,"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."}}