{"id":"W3092867318","doi":"10.1097/pcc.0000000000002589","title":"Development and Validation of a Model to Predict Pediatric Septic Shock Using Data Known 2 Hours After Hospital Arrival","year":2020,"lang":"en","type":"article","venue":"Pediatric Critical Care Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Agency for Healthcare Research and Quality","keywords":"Medicine; Septic shock; Logistic regression; Receiver operating characteristic; Emergency department; Emergency medicine; Vital signs; Internal medicine; Sepsis; Surgery","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":[0.0130503,0.001411751,0.001094379,0.001287729,0.0004814996,0.001223793,0.001149748,0.0008704002,0.001057935],"category_scores_gemma":[0.01506917,0.0005111607,0.001262124,0.000505955,0.0004029436,0.0006408423,0.000893498,0.001421236,0.0004283781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008879632,"about_ca_system_score_gemma":0.002755796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007533513,"about_ca_topic_score_gemma":0.003733586,"domain_scores_codex":[0.9978455,0.00138,0.0001369484,0.000342544,0.0001594178,0.0001356463],"domain_scores_gemma":[0.988204,0.009070292,0.0007185857,0.0003297153,0.00140897,0.0002683932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002023204,0.001430241,0.383774,0.000165149,0.001340331,0.0003404832,0.0003055218,0.531984,0.001928639,0.0005334374,0.004363543,0.07181151],"study_design_scores_gemma":[0.00009894375,0.0002837931,0.01086734,0.0000340658,0.00008196438,0.00004932591,0.00004116581,0.9875316,0.0004734264,0.0002623133,0.0002610542,0.00001501998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8724337,0.0004579083,0.1222206,0.0008882838,0.0001058574,0.0004772121,0.001332788,0.0009283717,0.001155238],"genre_scores_gemma":[0.9611734,0.0001398336,0.0354195,0.0001530911,0.00003419366,0.000437592,0.002100325,0.00003703063,0.0005050428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0130503,"threshold_uncertainty_score":0.06901741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.132050007790995,"score_gpt":0.374387039710076,"score_spread":0.242337031919081,"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."}}