{"id":"W4387092798","doi":"10.1371/journal.pone.0292186","title":"Prior physical illness predicts death better than acute physiological derangement on intensive care unit admission in COVID-19: A Swedish registry study","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Science for Life Laboratory; Njurfonden; Svenska Läkaresällskapet; Vetenskapsrådet; Hjärt-Lungfonden","keywords":"Medicine; Intensive care unit; Severity of illness; Receiver operating characteristic; Critical illness; Coronavirus disease 2019 (COVID-19); Illness severity; Intensive care; Area under the curve; Cohort study; Emergency medicine; Acute care; Cohort; Internal medicine; Logistic regression; Intensive care medicine; Critically ill; Disease; Health care","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":[0.001845796,0.0005938773,0.0007919755,0.001321263,0.00047307,0.001585991,0.0005176385,0.0007024471,0.001792576],"category_scores_gemma":[0.004968543,0.0005189807,0.001137188,0.001805294,0.0003660593,0.0005806963,0.001012954,0.0007694539,0.0005628556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003410171,"about_ca_system_score_gemma":0.000783412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004633072,"about_ca_topic_score_gemma":0.006029554,"domain_scores_codex":[0.9989335,0.0003196318,0.0001743776,0.000277822,0.0001605768,0.0001342364],"domain_scores_gemma":[0.9960517,0.0008985926,0.00151665,0.0006599966,0.0004652175,0.0004078879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002955037,0.00004058066,0.9980907,0.00002021715,0.0001445688,0.0001550201,0.00008444938,0.00005855152,0.00009324215,0.00001700365,0.000261533,0.0007387008],"study_design_scores_gemma":[0.00005319771,0.0001448094,0.9976141,0.00004252586,0.0001591151,0.0005862651,0.0003563295,0.0004363414,0.00005469592,0.00003960971,0.0004999276,0.00001306684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980545,0.0002204461,0.0000831221,0.00003590878,0.00001714028,0.00001220025,0.001194576,0.000005135405,0.000376996],"genre_scores_gemma":[0.9952265,0.0002833112,0.0001971392,0.00003741035,0.00003518308,0.00003521809,0.003967063,0.00001112596,0.0002070566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004633072,"threshold_uncertainty_score":0.009761572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2190680947264339,"score_gpt":0.3858284599721395,"score_spread":0.1667603652457056,"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."}}