{"id":"W2133067325","doi":"10.1001/archpedi.160.3.293","title":"Development of Pediatric Comorbidity Prediction Model","year":2006,"lang":"en","type":"article","venue":"Archives of Pediatrics and Adolescent Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Comorbidity; Confidence interval; Medicine; Statistic; Odds ratio; Logistic regression; Retrospective cohort study; Bootstrapping (finance); Hospital discharge; Statistics; Pediatrics; Demography; Emergency medicine; Internal medicine; Econometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00142351,0.0005746966,0.0005182395,0.0009550456,0.0003441203,0.000550763,0.0006946218,0.0002938462,0.001434454],"category_scores_gemma":[0.005940785,0.0002480058,0.0004077795,0.0008693284,0.0001323841,0.0004293877,0.0004538897,0.0006192724,0.0003235191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355051,"about_ca_system_score_gemma":0.002842295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03782525,"about_ca_topic_score_gemma":0.02632572,"domain_scores_codex":[0.9995205,0.0001792846,0.00003081581,0.00009634282,0.0001208549,0.00005218195],"domain_scores_gemma":[0.9986259,0.0005826493,0.0001564849,0.00004493558,0.000518525,0.00007159461],"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":[0.0002824503,0.0001974576,0.3407043,0.0001207755,0.0003238627,0.0005710509,0.000318019,0.4814952,0.001104491,0.008524309,0.01175223,0.1546059],"study_design_scores_gemma":[0.00003148539,0.00004834143,0.020952,0.0000284468,0.00004153655,0.000111235,0.0000469721,0.9752089,0.0002391291,0.001601676,0.001677164,0.00001305498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3620034,0.0004326296,0.6244836,0.001173702,0.00006269737,0.0005146075,0.005781704,0.00105327,0.004494296],"genre_scores_gemma":[0.7975058,0.0004072658,0.1953522,0.00009153577,0.00004574949,0.0006935033,0.004259873,0.00005363086,0.001590508],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03782525,"threshold_uncertainty_score":0.07521015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05876973998854427,"score_gpt":0.2975256418529607,"score_spread":0.2387559018644164,"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."}}