{"id":"W4378781383","doi":"10.1097/pec.0000000000002938","title":"Sepsis Prognostic Scores Accuracy in Predicting Adverse Outcomes in Children With Sepsis Admitted to the Pediatric Intensive Care Unit From the Emergency Department","year":2023,"lang":"en","type":"article","venue":"Pediatric Emergency Care","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation","funders":"","keywords":"Medicine; Sepsis; Pediatric intensive care unit; Organ dysfunction; Receiver operating characteristic; Emergency department; Intensive care unit; Confidence interval; Retrospective cohort study; Emergency medicine; Multiple organ dysfunction syndrome; Cohort; Pediatrics; Intensive care medicine; Internal 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":[0.001906333,0.0005972081,0.0005076946,0.001169193,0.0002140322,0.0007404633,0.0003049256,0.0005173368,0.0008871449],"category_scores_gemma":[0.009455292,0.0002419007,0.0006520784,0.000707667,0.0002956565,0.0007207831,0.0005919481,0.0007160051,0.0002311824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003048978,"about_ca_system_score_gemma":0.0004762609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001421545,"about_ca_topic_score_gemma":0.001733268,"domain_scores_codex":[0.9988911,0.00031544,0.0001516956,0.0001734266,0.0003147098,0.0001536394],"domain_scores_gemma":[0.9954977,0.001275202,0.002004566,0.0001461501,0.0006011415,0.0004752084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009761315,0.00001431858,0.9986017,0.000004590479,0.00003173293,0.00001781486,0.00001230464,0.00007664727,0.00004460851,0.000004821869,0.00004151191,0.001052326],"study_design_scores_gemma":[0.0000277366,0.0002701677,0.9975057,0.00001917934,0.00005600437,0.000326239,0.00008947519,0.001439421,0.0001276878,0.00002205392,0.0001108823,0.000005588339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988881,0.0003558631,0.0001565012,0.00005907946,0.00001145335,0.000009816264,0.000267172,0.000005487443,0.0002465916],"genre_scores_gemma":[0.9991554,0.0001057322,0.0002568632,0.00001270947,0.00001242779,0.00001043349,0.0003971084,0.00000201351,0.00004728474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001906333,"threshold_uncertainty_score":0.01008177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106907907230273,"score_gpt":0.3264923495156897,"score_spread":0.2854232704433869,"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."}}