{"id":"W3004000218","doi":"10.1017/s2045796020000037","title":"Prescription opioid misuse motive latent classes: outcomes from a nationally representative US sample","year":2020,"lang":"en","type":"article","venue":"Epidemiology and Psychiatric Sciences","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; Substance Abuse and Mental Health Services Administration; National Institutes of Health","keywords":"Latent class model; Odds; Medical prescription; Psychopathology; Mental health; Psychiatry; Prescription Drug Misuse; Suicidal ideation; Clinical psychology; Substance abuse; Coping (psychology); Psychology; Opioid; Medicine; Suicide prevention; Poison control; Environmental health; Opioid use disorder; Logistic regression; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001463862,0.0003724889,0.0003325466,0.0009960785,0.0008477399,0.0008824231,0.000632698,0.0006887902,0.001685605],"category_scores_gemma":[0.00303496,0.0004083976,0.001002132,0.001273591,0.0003898942,0.0007697638,0.001610544,0.001151082,0.0005213356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006609226,"about_ca_system_score_gemma":0.0008839605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04503264,"about_ca_topic_score_gemma":0.05156557,"domain_scores_codex":[0.999273,0.000201808,0.00007988627,0.0001472739,0.0001591956,0.0001388225],"domain_scores_gemma":[0.9982303,0.000145269,0.0007513806,0.000205458,0.0003461571,0.0003214432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005030667,0.0001009778,0.9985927,0.00001082814,0.00004777734,0.00001167965,0.0001179095,0.00003407586,0.0000417023,0.00001785698,0.0002761007,0.0006982274],"study_design_scores_gemma":[0.00001006037,0.00007850519,0.9988278,0.00001202087,0.00002389068,0.00006090236,0.0005250329,0.0001763539,0.00002132404,0.00002864258,0.0002307686,0.0000048325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942297,0.00009167241,0.0001810693,0.00007284345,0.000006119913,0.0001252058,0.004871767,0.000007033216,0.0004146006],"genre_scores_gemma":[0.9912273,0.0001331501,0.0003121071,0.0001064375,0.00001161404,0.0002030575,0.007708436,0.000007081748,0.0002907966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04503264,"threshold_uncertainty_score":0.08954108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09386456697780696,"score_gpt":0.3783736123494349,"score_spread":0.2845090453716279,"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."}}