{"id":"W4288068826","doi":"10.1177/07067437221114094","title":"Individualized Prospective Prediction of Opioid Use Disorder","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Government of Alberta; University of Alberta; Ministry of Health","funders":"University Hospital Foundation; Alberta Innovates; Mental Health Foundation; Mitacs; Canada Research Chairs; Brain and Behavior Research Foundation","keywords":"Opioid use disorder; Prospective cohort study; Medicine; Machine learning; Opioid; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00147435,0.0004595737,0.0003910804,0.0008426022,0.0003874717,0.0007669156,0.0005611465,0.0003462838,0.001196681],"category_scores_gemma":[0.007449906,0.0002002944,0.0005049909,0.0006443899,0.0002185532,0.000420859,0.000724485,0.0008158133,0.0002832051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009485255,"about_ca_system_score_gemma":0.001723569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1072796,"about_ca_topic_score_gemma":0.1442854,"domain_scores_codex":[0.9993155,0.0001949604,0.00004917093,0.0002256993,0.0001209739,0.00009372312],"domain_scores_gemma":[0.9971361,0.001220711,0.0004997867,0.0003467082,0.0006002475,0.0001963064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004929548,0.0000322828,0.9824469,0.00001031728,0.00007035118,0.00004720583,0.00004056111,0.008027088,0.00009016142,0.0001439416,0.000918847,0.008123111],"study_design_scores_gemma":[0.00001945965,0.000112102,0.7336043,0.00006356837,0.0001535944,0.0002489215,0.0002158897,0.2618271,0.0005937835,0.001309616,0.001812077,0.0000395045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756756,0.0003960049,0.01367423,0.0007579161,0.00005086731,0.00007625194,0.006996325,0.000177028,0.002195832],"genre_scores_gemma":[0.9923527,0.0001043462,0.003992554,0.00006914799,0.00001860553,0.00002167777,0.003078618,0.000008134414,0.0003542723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1072796,"threshold_uncertainty_score":0.2133104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061577316634591,"score_gpt":0.2326905376355163,"score_spread":0.2220747644691704,"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."}}