{"id":"W4296078755","doi":"10.12927/hcq.2022.26896","title":"Responding to Ontario’s Overdose Crisis in the Context of the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Toronto Public Health; Office of the Chief Medical Examiner; University of Toronto; Assembly of First Nations; University Health Network; Canadian Institute for Advanced Research; Impact","funders":"","keywords":"Pandemic; Coroner; Coronavirus disease 2019 (COVID-19); Context (archaeology); Medical emergency; Harm reduction; Health care; Curfew; Harm; Medicine; Crisis management; Population; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public health; Business; Environmental health; Political science; Nursing; Suicide prevention; Poison control; Geography; Infectious disease (medical specialty); Disease; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001776347,0.0001565719,0.0002469149,0.0004992173,0.008825609,0.003244782,0.0008159422,0.001362661,0.003143959],"category_scores_gemma":[0.006150721,0.0001869461,0.0002771341,0.001065875,0.00231466,0.0009978067,0.002271504,0.002096723,0.0002414318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06091056,"about_ca_system_score_gemma":0.1195727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9713275,"about_ca_topic_score_gemma":0.9936774,"domain_scores_codex":[0.9979005,0.0004527354,0.00005924222,0.00007715596,0.0004358302,0.001074497],"domain_scores_gemma":[0.9945948,0.0003986107,0.0004356424,0.0001161216,0.001744934,0.002710053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005552784,0.0004140007,0.3937971,0.0006810421,0.0001754449,0.005469572,0.0901904,0.001667351,0.002333263,0.01210001,0.3767506,0.115866],"study_design_scores_gemma":[0.00008721583,0.000163188,0.4773514,0.0007877205,0.0000639209,0.0004456548,0.1764359,0.0008675865,0.0005238747,0.002914635,0.3402478,0.0001110859],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5437027,0.003611541,0.0005340284,0.3607706,0.00137439,0.0002581016,0.001449793,0.00006959276,0.08822925],"genre_scores_gemma":[0.9530157,0.004487973,0.001056604,0.02999816,0.0003859271,0.00007768886,0.0005265472,0.00002771228,0.01042368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06091056,"threshold_uncertainty_score":0.4419391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04761604384744027,"score_gpt":0.3534655991002061,"score_spread":0.3058495552527658,"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."}}