{"id":"W3207722567","doi":"10.32920/22227568.v1","title":"Answering in Emergency: The Law and Accountability in Canada’s Pandemic Response","year":2023,"lang":"en","type":"article","venue":"","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; McGill University; Université de Sherbrooke","funders":"McGill University Health Centre; McGill University","keywords":"Accountability; Political science; Legislation; Law; Public administration; State of emergency; Government (linguistics); Public law; Context (archaeology); Public health law; Public health; Pandemic; Criminal law; Politics; Health policy; Health care; Medicine; Coronavirus disease 2019 (COVID-19); Health care reform","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":[0.007729212,0.0003423386,0.0003703446,0.001911649,0.04341762,0.01635552,0.002623065,0.008448986,0.009729932],"category_scores_gemma":[0.0252659,0.0006349183,0.0005455732,0.002480927,0.02130921,0.004773831,0.004882733,0.01154593,0.0004884884],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2683085,"about_ca_system_score_gemma":0.4475331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969457,"about_ca_topic_score_gemma":0.9983662,"domain_scores_codex":[0.9874552,0.001737107,0.0002934084,0.000810202,0.004076357,0.005627697],"domain_scores_gemma":[0.9805365,0.006070637,0.0008840056,0.0004436818,0.006406877,0.005658302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000613935,0.00006456585,0.01280902,0.0001756426,0.00003129815,0.001677565,0.02827367,0.001419835,0.0004487729,0.7049214,0.2008586,0.04925827],"study_design_scores_gemma":[0.00005930717,0.00003838581,0.03228171,0.0006034825,0.00006200951,0.0004140906,0.04612043,0.003277775,0.0006129839,0.07077981,0.8454643,0.0002856919],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.05306093,0.006669981,0.002543375,0.7034939,0.001571178,0.0001202597,0.000315472,0.00009162031,0.2321334],"genre_scores_gemma":[0.8167835,0.005108359,0.002633642,0.09689861,0.0005909445,0.00005540411,0.0001431472,0.0001015989,0.07768486],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2683085,"threshold_uncertainty_score":0.8486584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09162395093564701,"score_gpt":0.4429527656265239,"score_spread":0.3513288146908768,"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."}}