{"id":"W3143650267","doi":"10.2196/25066","title":"Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Michigan Institute for Data Science, University of Michigan; National Institutes of Health","keywords":"Intensive care unit; Medicine; Receiver operating characteristic; Intensive care; Emergency medicine; Health care; Coronavirus disease 2019 (COVID-19); Medical emergency; Test (biology); Intensive care medicine; Disease; Internal medicine","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":[0.02985156,0.002154477,0.001540217,0.002391569,0.0006074145,0.001456506,0.002128649,0.0009754103,0.001030561],"category_scores_gemma":[0.03572691,0.0005001504,0.002282368,0.001275016,0.0006783355,0.001329987,0.001613121,0.002101334,0.0002856271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809213,"about_ca_system_score_gemma":0.003584393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824234,"about_ca_topic_score_gemma":0.01050505,"domain_scores_codex":[0.9929298,0.004632098,0.0004809459,0.001073464,0.0006514459,0.0002322937],"domain_scores_gemma":[0.9559438,0.03508493,0.002142466,0.002113308,0.004138776,0.0005767393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003646764,0.003181864,0.5155935,0.0007025782,0.004162736,0.0003096179,0.0004903561,0.3614889,0.001002564,0.001080125,0.003521565,0.1048194],"study_design_scores_gemma":[0.000188021,0.001779836,0.02506463,0.00008558941,0.0003789514,0.00009375975,0.0001540207,0.9707066,0.0004922842,0.0006090361,0.0004108433,0.00003635344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9318874,0.002547674,0.06015231,0.0006318885,0.0001657515,0.001214638,0.001585842,0.0004371616,0.001377301],"genre_scores_gemma":[0.9634449,0.0005831026,0.03247855,0.0001750199,0.00005351333,0.0005098803,0.002360498,0.00003355786,0.0003608825],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02985156,"threshold_uncertainty_score":0.157872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1876355175496016,"score_gpt":0.4846892294764886,"score_spread":0.297053711926887,"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."}}