{"id":"W4323355195","doi":"10.32920/22227643.v1","title":"Governments’ accountability for Canada’s pandemic response","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Toronto Metropolitan University; McGill University","funders":"McGill University Health Centre; McGill University","keywords":"Accountability; Public administration; Legislature; Political science; Legislation; Discretion; Pandemic; Corporate governance; Politics; State of emergency; State (computer science); Law; Business; Coronavirus disease 2019 (COVID-19); Medicine","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":[0.009975109,0.0004077432,0.0003630534,0.002129287,0.02209612,0.01289616,0.001803403,0.004350236,0.01592286],"category_scores_gemma":[0.03961761,0.0004864758,0.0007127255,0.002520308,0.006825452,0.002775308,0.003958371,0.006297464,0.001126608],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2462363,"about_ca_system_score_gemma":0.4849335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994404,"about_ca_topic_score_gemma":0.9963013,"domain_scores_codex":[0.9832581,0.002547512,0.0003063729,0.0009822607,0.00635943,0.006546338],"domain_scores_gemma":[0.9695755,0.00501511,0.001054359,0.001131028,0.01493109,0.00829298],"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":[0.00006854069,0.00005053728,0.01575643,0.0001798995,0.00005427116,0.0003375691,0.008858183,0.002332498,0.0005647262,0.5021618,0.4149568,0.05467874],"study_design_scores_gemma":[0.000059457,0.00002261136,0.02830292,0.0003584728,0.00008592809,0.00006126994,0.006253436,0.002674859,0.0008020604,0.03753015,0.9237064,0.000142578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0413982,0.003564528,0.003658069,0.519973,0.002388394,0.0001746805,0.001541182,0.0003694647,0.4269325],"genre_scores_gemma":[0.8262957,0.002443,0.004718104,0.04541352,0.0005091635,0.00009656062,0.000634736,0.0002535858,0.1196358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2462363,"threshold_uncertainty_score":0.874259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2201189538437466,"score_gpt":0.5224039118268216,"score_spread":0.3022849579830749,"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."}}