{"id":"W4408939651","doi":"10.1016/j.jacadv.2025.101621","title":"ICU Admission Prediction for Patients With Kawasaki Disease or MIS-C Using Machine Learning","year":2025,"lang":"en","type":"article","venue":"JACC Advances","topic":"Kawasaki Disease and Coronary Complications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Kingston Health Sciences Centre; Children’s Health Research Institute; Western University; Janeway Children's Health and Rehabilitation Centre; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; University of Alberta; Université de Montréal","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; NIH Office of the Director; Office of the Director; National Institutes of Health","keywords":"Kawasaki disease; Medicine; Artificial intelligence; Computer science; Internal medicine; Intensive care medicine; Machine learning; Cardiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003176424,0.000130243,0.0001596508,0.00009173273,0.0002748722,0.0000151458,0.00006056159,0.0000277263,0.00007652011],"category_scores_gemma":[0.0001620121,0.00008880452,0.00005913105,0.0002275182,0.000030431,0.0002204273,0.00001912148,0.00008600739,0.000002744369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006573922,"about_ca_system_score_gemma":0.000201551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005974297,"about_ca_topic_score_gemma":0.000004600931,"domain_scores_codex":[0.9991997,0.00001956377,0.0001776809,0.0002762614,0.0001572054,0.0001695652],"domain_scores_gemma":[0.9993028,0.00007806657,0.00007927891,0.0002018983,0.0001561848,0.0001817813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005785819,0.0006800722,0.9557112,0.0004002784,0.00006824203,0.000006184273,0.00003575796,0.0007844215,0.0002500365,0.0001405286,0.0003927333,0.03574465],"study_design_scores_gemma":[0.005872033,0.001063588,0.7620836,0.00110491,0.0007806906,0.00000349563,0.0001989501,0.03225677,0.0002522742,0.000811632,0.1952954,0.0002766049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633734,0.003760413,0.02780021,0.001211265,0.0002583563,0.001837039,0.000194522,0.0002670971,0.001297693],"genre_scores_gemma":[0.9906282,0.0001046737,0.004644199,0.0004025667,0.0001145993,0.0001560457,0.0004846225,0.00002213588,0.00344299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1949027,"threshold_uncertainty_score":0.3621343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493450753848438,"score_gpt":0.3139090613966463,"score_spread":0.298974553858162,"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."}}