{"id":"W3091109908","doi":"10.2196/21788","title":"Predictive Models of Mortality for Hospitalized Patients With COVID-19: Retrospective Cohort Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; National Institute of General Medical Sciences; Multidisciplinary University Research Initiative; Massachusetts General Hospital; National Science Foundation; National Institutes of Health; Tongji University","keywords":"Medicine; Triage; Retrospective cohort study; Logistic regression; Context (archaeology); Cohort; Cohort study; Emergency medicine; Coronavirus disease 2019 (COVID-19); Severity of illness; Disease; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005477142,0.000897782,0.0007907155,0.00146218,0.000476425,0.0009722576,0.001311171,0.0006117938,0.001359081],"category_scores_gemma":[0.01081349,0.0004831172,0.001682537,0.001072534,0.0003813764,0.0007275427,0.0007555038,0.001359308,0.0003619698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007676054,"about_ca_system_score_gemma":0.001021358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112671,"about_ca_topic_score_gemma":0.005941911,"domain_scores_codex":[0.9986758,0.0004526561,0.0001343643,0.0004119175,0.00017885,0.000146412],"domain_scores_gemma":[0.9932239,0.002730053,0.001380443,0.001385955,0.0008193331,0.0004603356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002738859,0.00005913547,0.9967609,0.000006379076,0.0001865741,0.00009066993,0.00003856152,0.001180777,0.00005190504,0.00003262343,0.0002328113,0.001085743],"study_design_scores_gemma":[0.000100637,0.0006563815,0.9015948,0.00003321995,0.0005016562,0.0008014487,0.0005191622,0.09440099,0.0002665717,0.0003687457,0.0007119292,0.00004452053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975752,0.0001018714,0.001101785,0.00005285535,0.00001339115,0.00003086926,0.0009902326,0.00001377501,0.0001198156],"genre_scores_gemma":[0.9970523,0.00008693027,0.0006615517,0.00001706204,0.00001174939,0.00003378687,0.002044196,0.000005912814,0.00008639479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112671,"threshold_uncertainty_score":0.02896625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05415609627711594,"score_gpt":0.4258591230202496,"score_spread":0.3717030267431337,"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."}}