{"id":"W4323322414","doi":"10.37964/cr24764","title":"PERSPECTIVE: Lessons in crisis decision-making learned from Canada’s COVID-19 health care response","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Physician Leadership","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Perspective (graphical); Health care; 2019-20 coronavirus outbreak; Political science; Clinical decision making; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public relations; Prism; Medicine; Psychology; Family medicine; Virology; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01915214,0.0007607018,0.0006839973,0.001437574,0.03378157,0.0218798,0.004094672,0.009421197,0.00748062],"category_scores_gemma":[0.02511304,0.0005642978,0.0006882977,0.002485659,0.03325704,0.008193363,0.006779309,0.02664985,0.0007787265],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1247098,"about_ca_system_score_gemma":0.3104093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9247758,"about_ca_topic_score_gemma":0.9743818,"domain_scores_codex":[0.9843718,0.006486122,0.0002917568,0.0008861246,0.002889541,0.005074701],"domain_scores_gemma":[0.970021,0.009622904,0.001127805,0.0004347075,0.009421003,0.009372541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001320908,0.0001180778,0.007629999,0.0008233769,0.00006077645,0.002600624,0.2452586,0.001483334,0.0005504935,0.1771855,0.5076921,0.0564651],"study_design_scores_gemma":[0.00003725229,0.00005062544,0.004637389,0.0016363,0.00002462877,0.000445663,0.4352405,0.0003843962,0.0003486073,0.03721015,0.5198494,0.0001351563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00945121,0.007429775,0.001109283,0.9559251,0.003271606,0.00003381521,0.0001509709,0.00001997976,0.02260828],"genre_scores_gemma":[0.5334958,0.02570951,0.003911103,0.4128056,0.003505367,0.00007027792,0.0001970382,0.0001269766,0.02017827],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8752902,"threshold_uncertainty_score":0.9048374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2362304791235012,"score_gpt":0.4654288759672821,"score_spread":0.2291983968437809,"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."}}