{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007234719,0.0001414692,0.0002903614,0.000276155,0.0002583462,0.00001053722,0.0002760857,0.00004548442,0.0002135589],"category_scores_gemma":[0.00006273963,0.00009046502,0.0001194525,0.0008449432,0.00002667285,0.00002970188,0.0000423546,0.0004549352,0.00001100738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001888195,"about_ca_system_score_gemma":0.001650159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1760206,"about_ca_topic_score_gemma":0.1775389,"domain_scores_codex":[0.9978288,0.0006076334,0.0004045083,0.0002935603,0.0005537019,0.0003118309],"domain_scores_gemma":[0.9987367,0.0002211284,0.0001137906,0.000716294,0.00004198607,0.0001700482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008421729,0.000320242,0.5753959,0.0001615754,0.00003023479,0.00006749714,0.4058857,0.000007892573,0.00010028,0.00200719,0.009237761,0.005943571],"study_design_scores_gemma":[0.00333043,0.005221053,0.4517242,0.00007710341,0.00006627342,0.0002284323,0.3676462,0.000007152152,0.00001537355,0.0006695569,0.1708374,0.0001768094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786318,0.0004359992,0.000006184926,0.119084,0.0002345019,0.001357819,0.00006174354,0.00002579629,0.0001621786],"genre_scores_gemma":[0.9512668,0.000006169606,0.00003002926,0.04783576,0.00002658839,0.0003487942,0.00001896657,0.00001701905,0.0004499206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1615997,"threshold_uncertainty_score":0.8374689,"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."}}