{"id":"W3024655987","doi":"10.1017/cem.2020.398","title":"“Building the plane as you fly”: Simulation during the COVID-19 pandemic","year":2020,"lang":"en","type":"review","venue":"Canadian Journal of Emergency Medicine","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Manitoba; Queen's University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Health care; Protocol (science); Process (computing); Medical emergency; Perspective (graphical); Perception; Key (lock); Medicine; Medical education; Psychology; Computer science; Nursing; Disease; Computer security; Alternative medicine; Political science; Infectious disease (medical specialty); Pathology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005266232,0.0008787388,0.001319753,0.001809187,0.0006341657,0.00194499,0.002108321,0.003955922,0.002455817],"category_scores_gemma":[0.01811019,0.0003856621,0.001215682,0.001821305,0.001408666,0.002260909,0.001258137,0.003543504,0.0007575304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00436815,"about_ca_system_score_gemma":0.01267261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03896376,"about_ca_topic_score_gemma":0.06606729,"domain_scores_codex":[0.9967264,0.001940596,0.0003188067,0.0001366107,0.0007052809,0.0001722188],"domain_scores_gemma":[0.9900234,0.007323906,0.0005138312,0.0001229929,0.001636674,0.0003791441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002174504,0.0000814442,0.0002326304,0.08788254,0.0003765737,0.0001957632,0.001401799,0.001057889,0.0001895976,0.007629796,0.1207759,0.7799587],"study_design_scores_gemma":[0.0000851333,0.0001308138,0.001027294,0.1156755,0.0003749482,0.0007536116,0.0007366918,0.0002222942,0.0001727966,0.001838177,0.878923,0.00005973384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009928442,0.9962096,0.00006105302,0.002264484,0.0005854593,0.00001094995,0.000008508245,0.000004938322,0.0007556522],"genre_scores_gemma":[0.001865386,0.9957656,0.0001712112,0.001611832,0.0002743893,0.00002144047,0.00001928923,0.000003111551,0.0002676451],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03896376,"threshold_uncertainty_score":0.07747394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3246607510604841,"score_gpt":0.5048407603528827,"score_spread":0.1801800092923986,"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."}}