{"id":"W3189618353","doi":"10.1101/2021.07.28.21261283","title":"DERIVATION AND VALIDATION OF A CLINICAL SCORE TO PREDICT DEATH AMONG NON-PALLIATIVE COVID-19 PATIENTS PRESENTING TO EMERGENCY DEPARTMENTS: THE CCEDRRN COVID MORTALITY SCORE","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; McMaster University; Hamilton Health Sciences; Queen's University; University of Manitoba; University of Calgary; University of Ottawa; Kingston Health Sciences Centre; McGill University; Ottawa Hospital; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Vancouver Coastal Health; Vancouver Coastal Health Research Institute; University of British Columbia; Université Laval; University of Alberta","funders":"Ministry of Colleges and Universities; Canadian Institutes of Health Research; Fondation CHU de Québec; Genome British Columbia; Saskatchewan Health Research Foundation","keywords":"Medicine; Emergency department; Logistic regression; Confidence interval; Observational study; Emergency medicine; Palliative care; Cohort; Severity of illness; Internal medicine; Cohort study","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008453325,0.0008428443,0.0006663818,0.001903616,0.0005222659,0.001228532,0.001174738,0.0005283663,0.001035842],"category_scores_gemma":[0.02401458,0.0001972202,0.0007535244,0.001234697,0.0006739034,0.0005569543,0.001462751,0.000825809,0.000431855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259968,"about_ca_system_score_gemma":0.004198024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04017986,"about_ca_topic_score_gemma":0.04070115,"domain_scores_codex":[0.9959468,0.00147333,0.0005056857,0.0004476265,0.001297391,0.0003291506],"domain_scores_gemma":[0.984789,0.003435286,0.002994784,0.0008120357,0.006253559,0.001715337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001633476,0.00004651664,0.9940137,0.00001984984,0.00006275703,0.00002339343,0.00004921869,0.0005124534,0.0001147756,0.00004541946,0.0007616669,0.004186833],"study_design_scores_gemma":[0.00007358459,0.000459879,0.9849676,0.00005088343,0.00005921785,0.0001619846,0.0001965876,0.01267135,0.0003112354,0.0001275331,0.0009002971,0.00001977883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9916991,0.000253647,0.002683964,0.0002569731,0.00005628178,0.000356538,0.00230125,0.00003464459,0.002357624],"genre_scores_gemma":[0.9936283,0.00008003275,0.002733564,0.00006371943,0.00002574675,0.0001249156,0.003115144,0.000007178705,0.0002215443],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04017986,"threshold_uncertainty_score":0.07989198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2419416796100198,"score_gpt":0.4855946394454359,"score_spread":0.2436529598354161,"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."}}