{"id":"W4309648808","doi":"10.1097/aln.0000000000004443","title":"Nonopioid Analgesic Prescriptions Filled after Surgery among Older Adults in Ontario, Canada: A Population-based Cohort Study","year":2022,"lang":"en","type":"article","venue":"Anesthesiology","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; St. Michael's Hospital; Toronto Rehabilitation Institute; University of Toronto","funders":"National Institute on Drug Abuse; Pfizer Canada; University of Toronto; Ontario Ministry of Health and Long-Term Care; Canadian Pain Society; Canadian Institutes of Health Research; Pacira BioSciences; Brigham and Women's Hospital; Pfizer; Baxalta; Eli Lilly and Company","keywords":"Medicine; Analgesic; Medical prescription; Cohort; Cohort study; Population; Gerontology; Anesthesia; Internal medicine; Environmental health; 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":[0.0007415536,0.0003446562,0.0004521025,0.001204558,0.002204487,0.001121635,0.0009888983,0.0004845737,0.001070482],"category_scores_gemma":[0.001918054,0.0004898564,0.0006849401,0.003700997,0.0006757257,0.0005850967,0.0008965082,0.0007364282,0.0001912093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01497194,"about_ca_system_score_gemma":0.01976535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9777174,"about_ca_topic_score_gemma":0.9875514,"domain_scores_codex":[0.9987691,0.00007488928,0.0001048009,0.0002219897,0.0004743673,0.0003548198],"domain_scores_gemma":[0.9972075,0.0001034606,0.000950347,0.0001148829,0.001096971,0.0005269165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002239299,0.00001819209,0.9986797,0.00001430419,0.00002710314,0.0000338775,0.0002949138,0.000015684,0.00005873678,0.0000136094,0.0002698367,0.0005516718],"study_design_scores_gemma":[0.000004906757,0.00001734666,0.9990851,0.00001543835,0.00001650158,0.00003146789,0.0004391636,0.00006592159,0.00001349757,0.000006154505,0.0003007661,0.000003872868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940454,0.0004039274,0.0001023108,0.00023334,0.00001333135,0.00008366549,0.004065959,0.000006612274,0.001045445],"genre_scores_gemma":[0.9973538,0.0004111556,0.0001676382,0.0001625309,0.00001129959,0.00003826389,0.001400995,0.000003298543,0.0004510212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0222826,"threshold_uncertainty_score":0.1086295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008541928849052898,"score_gpt":0.2090697863342926,"score_spread":0.2005278574852397,"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."}}