{"id":"W3015011535","doi":"10.1017/cem.2020.359","title":"Just the Facts: Protecting frontline clinicians during the COVID-19 pandemic","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Manitoba; University of Calgary; Health Sciences Centre; Saint John Regional Hospital; University of Toronto; Dalhousie University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medical emergency; Betacoronavirus; Coronavirus Infections; MEDLINE; Health care; Virology; Outbreak; Infectious disease (medical specialty); Disease; Economic growth; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0233576,0.0007838563,0.001015295,0.001291824,0.02028666,0.01682543,0.002742823,0.02033237,0.01870354],"category_scores_gemma":[0.1186481,0.0007628615,0.0007906017,0.001016435,0.01290938,0.0163544,0.0119962,0.03109878,0.005793618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01267764,"about_ca_system_score_gemma":0.05832028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09570543,"about_ca_topic_score_gemma":0.1895435,"domain_scores_codex":[0.9745097,0.01229297,0.001271327,0.001260238,0.005171945,0.005493802],"domain_scores_gemma":[0.9035868,0.02897441,0.00869246,0.004181257,0.02006569,0.03449942],"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":[0.00008321114,0.00007949261,0.004122011,0.0003656079,0.00005432207,0.000925266,0.01056305,0.0001205419,0.0002742175,0.01361819,0.9221429,0.0476512],"study_design_scores_gemma":[0.00007472487,0.0001914431,0.0098495,0.004104939,0.00009013111,0.0009545375,0.04564986,0.000122171,0.0003870305,0.02888268,0.9095367,0.0001563853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001645654,0.004197896,0.0002533807,0.9722777,0.006387157,0.00001395632,0.00006424683,0.00003138387,0.01512853],"genre_scores_gemma":[0.0917659,0.01627359,0.001515578,0.8690439,0.01192632,0.00006072327,0.0001595897,0.0001190808,0.009135402],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09570543,"threshold_uncertainty_score":0.1902968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4486668739382447,"score_gpt":0.4771116153618342,"score_spread":0.02844474142358955,"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."}}