{"id":"W4225279871","doi":"10.1016/j.drugalcdep.2022.109459","title":"Impact of the COVID-19 pandemic on the prevalence of opioid agonist therapy discontinuation in Ontario, Canada: A population-based time series analysis","year":2022,"lang":"en","type":"article","venue":"Drug and Alcohol Dependence","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Drug Policy Research Network; Women's College Hospital; University of Toronto; St. Michael's Hospital; Centre for Addiction and Mental Health; Institute for Clinical Evaluative Sciences; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Discontinuation; Medicine; Methadone; Population; Buprenorphine; (+)-Naloxone; Pandemic; Demography; Pediatrics; Internal medicine; Emergency medicine; Opioid; Coronavirus disease 2019 (COVID-19); Anesthesia; Environmental health","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":[0.001867896,0.0004326894,0.0005426518,0.0009747201,0.001106585,0.001016528,0.001424744,0.000645612,0.001727888],"category_scores_gemma":[0.00493374,0.0003339862,0.001196935,0.002479043,0.00076364,0.0004350112,0.0008591597,0.001092987,0.0001685084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01965944,"about_ca_system_score_gemma":0.02367795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876531,"about_ca_topic_score_gemma":0.981631,"domain_scores_codex":[0.9984254,0.000219428,0.0001186213,0.0002835003,0.0004903008,0.0004628186],"domain_scores_gemma":[0.9952132,0.0004796108,0.001721746,0.0002818193,0.00155585,0.0007477164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001187553,0.00003273438,0.9957184,0.00002833921,0.0001750277,0.00006217328,0.0002368924,0.0007437417,0.00008513028,0.00009656033,0.001099422,0.001602806],"study_design_scores_gemma":[0.00001469536,0.00004856519,0.9961492,0.00001998482,0.00005974184,0.00002849826,0.0003620517,0.002542923,0.00002809663,0.0000259348,0.0007076417,0.00001276514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848285,0.0005217461,0.0004735153,0.0006922128,0.0000266555,0.00007338919,0.01227036,0.00002737186,0.001086246],"genre_scores_gemma":[0.9932059,0.000298123,0.0002818335,0.0001389778,0.00001961888,0.00004100018,0.005284486,0.000007487567,0.0007225808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01965944,"threshold_uncertainty_score":0.1426399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02353303933221844,"score_gpt":0.2862450987152855,"score_spread":0.2627120593830671,"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."}}