{"id":"W4254509372","doi":"10.1016/j.jen.2020.04.010","title":"Responding to the Severe Acute Respiratory Syndrome (SARS) Outbreak: Lessons Learned in a Toronto Emergency Department","year":2020,"lang":"en","type":"article","venue":"Journal of Emergency Nursing","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Emergency department; Medicine; Outbreak; Regimen; Transmission (telecommunications); Severe acute respiratory syndrome; Respiratory system; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Intensive care medicine; Emergency medicine; Pediatrics; Virology; Disease; Internal medicine; Nursing; Infectious disease (medical specialty)","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":[0.005357256,0.0006312702,0.0003631873,0.0005708289,0.01123046,0.005247113,0.003638269,0.005076739,0.008690147],"category_scores_gemma":[0.01386647,0.000583067,0.0005574567,0.0007519979,0.004124625,0.002601743,0.005134067,0.009111265,0.0006962522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03715585,"about_ca_system_score_gemma":0.09030984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7395483,"about_ca_topic_score_gemma":0.9293445,"domain_scores_codex":[0.9942187,0.002068142,0.0002527884,0.0003255226,0.0008588107,0.002276035],"domain_scores_gemma":[0.9774279,0.002384917,0.0008832753,0.0002797917,0.003456277,0.01556774],"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":[0.000807424,0.0041326,0.1686796,0.002785244,0.0002963677,0.02506161,0.1856359,0.00353626,0.002540086,0.007785522,0.3647727,0.2339668],"study_design_scores_gemma":[0.0003269104,0.001800464,0.2574195,0.004182658,0.0001640897,0.002191692,0.5718472,0.001723079,0.0007738341,0.003725409,0.1555699,0.0002752011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4067686,0.01088213,0.0009552801,0.5328087,0.003387238,0.0004315519,0.0004181676,0.0001260991,0.04422215],"genre_scores_gemma":[0.9197925,0.01444874,0.003225697,0.04675843,0.001595583,0.0002200705,0.0002834722,0.00009095039,0.01358453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2604517,"threshold_uncertainty_score":0.523971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1528006900500927,"score_gpt":0.4975857316239949,"score_spread":0.3447850415739022,"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."}}