{"id":"W4385716956","doi":"10.1001/jamanetworkopen.2023.28159","title":"Five-Year Trajectories of Prescription Opioid Use","year":2023,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"National Drug and Alcohol Research Centre; National Health and Medical Research Council; Seqirus; NSW Ministry of Health; Medical Research Council; Indivior; Department of Health and Aged Care, Australian Government; University of New South Wales; Cancer Institute NSW; Helsinn; Johns Hopkins University; Australian Government; Gilead Sciences","keywords":"Medicine; Medical prescription; Opioid; Cohort; Pharmacoepidemiology; Cohort study; Population; Prescription drug; Demography; Internal medicine; Environmental health; 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":[0.0002496523,0.0001316107,0.00031893,0.00005876144,0.00006331154,0.00008969456,0.0001971911,0.00009261112,0.0001756998],"category_scores_gemma":[0.0001099506,0.0001127553,0.0000773052,0.0005292229,0.00003887359,0.0003127576,0.0002097698,0.0001129797,0.0001666606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004716685,"about_ca_system_score_gemma":0.0001039682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007310366,"about_ca_topic_score_gemma":0.00004569891,"domain_scores_codex":[0.9989411,0.0000648537,0.0002544486,0.0002413953,0.0002240781,0.000274075],"domain_scores_gemma":[0.999211,0.00010661,0.00008795477,0.0004180337,0.00009061218,0.00008579889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009869181,0.0002783192,0.7559705,0.0001676964,0.0003110548,0.00005198085,0.003122862,0.0007121462,0.0002829737,0.002255411,0.2306277,0.005232497],"study_design_scores_gemma":[0.002260086,0.0003211661,0.9661163,0.0003181587,0.0001113121,0.000002515137,0.0006151689,0.0004253864,0.0003658551,0.0005389194,0.02882086,0.0001042852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922562,0.0002624197,0.00001546258,0.0009527946,0.0004121499,0.001172938,0.00003181445,0.0001130885,0.004783119],"genre_scores_gemma":[0.9835951,0.0006081867,0.00192681,0.0002193571,0.0003995425,0.0001267053,0.0003407119,0.00004067931,0.01274295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2101458,"threshold_uncertainty_score":0.459803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182960024564375,"score_gpt":0.2973768911527539,"score_spread":0.2655472909071102,"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."}}