{"id":"W4388833085","doi":"10.1177/08850666231216362","title":"A Need for a Novel Survival Risk Scoring System for Intensive Care Admissions Due to Sepsis in Pediatric Hematology/Oncology Patients","year":2023,"lang":"en","type":"article","venue":"Journal of Intensive Care Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Israel Cancer Association","keywords":"Medicine; Pediatric intensive care unit; Sepsis; Population; Intensive care medicine; Retrospective cohort study; Internal medicine; Risk of mortality; Intensive care unit; Pediatrics; Emergency medicine","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":[0.00600419,0.0007905015,0.00104122,0.001569454,0.000338384,0.001651653,0.001150421,0.0008047938,0.001151848],"category_scores_gemma":[0.01986338,0.0002507044,0.000823303,0.001302607,0.0002887865,0.001588614,0.001163843,0.001650809,0.0003899619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009238564,"about_ca_system_score_gemma":0.003349572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320392,"about_ca_topic_score_gemma":0.002709116,"domain_scores_codex":[0.9979576,0.0007929939,0.000393627,0.0002907285,0.0004277689,0.0001372664],"domain_scores_gemma":[0.9888667,0.004257262,0.002189074,0.0005785433,0.003078007,0.001030365],"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":[0.0001846983,0.00009965786,0.9652966,0.00005303592,0.00007660171,0.00007105021,0.00004433362,0.00181248,0.0003500471,0.0001996512,0.00203495,0.02977694],"study_design_scores_gemma":[0.0002818464,0.001261976,0.829774,0.0003152951,0.0003742255,0.001857926,0.0005994601,0.15779,0.00145827,0.001563333,0.004632399,0.00009139375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552556,0.002149117,0.03201156,0.004570683,0.0004569842,0.0005069989,0.002259782,0.0003616917,0.002427424],"genre_scores_gemma":[0.939415,0.0003877395,0.05564409,0.0003895334,0.0002644391,0.0003353779,0.003317817,0.00003185769,0.0002141076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00600419,"threshold_uncertainty_score":0.03175354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0872916635769324,"score_gpt":0.3844783194127031,"score_spread":0.2971866558357707,"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."}}