{"id":"W3015489785","doi":"10.1503/cmaj.75254","title":"Ensuring nondiscrimination in pandemic prioritization decisions","year":2020,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Disaster Response and Management","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Children's Hospital of Eastern Ontario; McGill University","funders":"","keywords":"Prioritization; Triage; Pandemic; Coronavirus disease 2019 (COVID-19); Life support; Extracorporeal; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medical emergency; Operations research; Computer science; Medicine; Intensive care medicine; Business; Virology; Engineering; Process management; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.06030838,0.0005739729,0.001288556,0.001496621,0.01434793,0.009487142,0.005527965,0.103843,0.009533511],"category_scores_gemma":[0.2343657,0.001183296,0.001336716,0.001453998,0.02001381,0.009227317,0.005922201,0.07139158,0.005608401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01903504,"about_ca_system_score_gemma":0.06172504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06442748,"about_ca_topic_score_gemma":0.1018009,"domain_scores_codex":[0.9417596,0.02638382,0.003251911,0.003196758,0.01881564,0.006592212],"domain_scores_gemma":[0.7191394,0.2156556,0.008092416,0.004276259,0.03448135,0.01835494],"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":[0.00003085979,0.00002044172,0.0005475596,0.000069633,0.00001203521,0.0006289437,0.001280789,0.00006622001,0.0001289693,0.01201673,0.9736722,0.01152563],"study_design_scores_gemma":[0.00008917577,0.0000675201,0.001423374,0.001424895,0.00003656637,0.001209497,0.002836156,0.0005944699,0.0003955817,0.04441255,0.9473702,0.0001400453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001638362,0.0004223961,0.0001223517,0.9939426,0.003024925,0.000005174315,0.00001110651,0.00001058364,0.002296992],"genre_scores_gemma":[0.00484734,0.0002896169,0.0003098132,0.9871864,0.00607026,0.00001290292,0.000009345614,0.00001477967,0.001259355],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.103843,"threshold_uncertainty_score":0.318945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05508182342226518,"score_gpt":0.3648355919342592,"score_spread":0.309753768511994,"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."}}