{"id":"W2096660973","doi":"10.1016/j.annemergmed.2004.05.021","title":"“SARS-Ed”: severe acute respiratory syndrome and the impact on medical education","year":2004,"lang":"en","type":"article","venue":"Annals of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal College of Physicians and Surgeons of Canada; University of Toronto","funders":"","keywords":"Medicine; Severe acute respiratory syndrome; Respiratory system; Intensive care medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Emergency medicine; Medical emergency; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009536043,0.0002783239,0.000679663,0.0001633631,0.0001387519,0.000001173464,0.0001791766,0.000130716,0.002102548],"category_scores_gemma":[0.001651155,0.0001411141,0.0002399272,0.0004129559,0.000515532,0.00008093626,0.00006056566,0.0003302515,0.00002268569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002070144,"about_ca_system_score_gemma":0.0004036143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004030275,"about_ca_topic_score_gemma":0.0000141677,"domain_scores_codex":[0.9977869,0.00008774691,0.0007244753,0.0003063013,0.0007835487,0.000311066],"domain_scores_gemma":[0.9985303,0.00008649115,0.0002098715,0.0004440557,0.000447651,0.0002816544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001741019,0.0007499623,0.006262187,0.0003096885,0.001839867,0.000113368,0.003054459,0.000008724245,0.0009172888,0.01114099,0.9685684,0.005294052],"study_design_scores_gemma":[0.05432407,0.04057935,0.6185438,0.01702962,0.005316578,0.002980343,0.01009159,0.00009758173,0.0093838,0.08763853,0.1510689,0.002945828],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835145,0.03057273,0.00001152266,0.0658138,0.001557425,0.0005132886,0.00001648768,0.00003869361,0.01796155],"genre_scores_gemma":[0.9427415,0.05050863,0.0000120895,0.005433585,0.0006174984,0.00003696558,0.00002368612,0.00002489008,0.000601127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8174995,"threshold_uncertainty_score":0.9988096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06534520824287139,"score_gpt":0.4235474796246411,"score_spread":0.3582022713817697,"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."}}