{"id":"W3006219473","doi":"10.1002/pds.4964","title":"Age and postoperative opioid prescriptions: a population‐based cohort study of opioid‐naïve adults","year":2020,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Health Sciences Centre; Sunnybrook Hospital; Institute for Work & Health; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"National Institute on Drug Abuse; Canadian Institutes of Health Research; National Institutes of Health; University of Toronto; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Medical prescription; Opioid; Tramadol; Oxycodone; Codeine; Retrospective cohort study; Cohort; Anesthesia; Population; Pharmacoepidemiology; Cholecystectomy; Cohort study; Young adult; Morphine; Internal medicine; Analgesic; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0006458025,0.0002684974,0.0003033653,0.0008786035,0.0007770927,0.0006766378,0.0004695432,0.0004170923,0.0009854476],"category_scores_gemma":[0.001487127,0.0003804584,0.0005235092,0.001732494,0.00040127,0.0006340101,0.0005110445,0.0005321644,0.0001913658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156467,"about_ca_system_score_gemma":0.001475902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2299285,"about_ca_topic_score_gemma":0.2995343,"domain_scores_codex":[0.9993516,0.00008521127,0.00007963179,0.0001603798,0.0001893578,0.0001339613],"domain_scores_gemma":[0.9988376,0.0000797294,0.0005692575,0.00009891117,0.0002101516,0.0002043447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001826693,0.00001046758,0.9996303,0.000002747338,0.00001855928,0.00001535064,0.00006054684,0.000004758882,0.00004199473,0.000004366613,0.00003522917,0.0001574214],"study_design_scores_gemma":[0.000003605323,0.00002675177,0.9995547,0.000005541862,0.00001413218,0.00005260094,0.0001817076,0.00004593846,0.00001111734,0.000004641164,0.00009724912,0.000002021352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986367,0.0001773291,0.0000632489,0.00004670001,0.000005652628,0.00002042505,0.0007779147,0.000001902222,0.0002702461],"genre_scores_gemma":[0.9991336,0.0001406912,0.00007077043,0.00005700187,0.000006758899,0.00001210621,0.0004640324,0.000001431167,0.0001135838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2299285,"threshold_uncertainty_score":0.4571803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02687645157427236,"score_gpt":0.3309566269594823,"score_spread":0.3040801753852099,"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."}}