{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001423563,0.0001650139,0.00042922,0.0003082266,0.00005298177,0.000001906891,0.00005706987,0.00004776357,0.00001228681],"category_scores_gemma":[0.00004401702,0.0001223516,0.00006870726,0.000189666,0.0001285897,0.00002667199,0.00005092113,0.0001073439,8.211481e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001727112,"about_ca_system_score_gemma":0.0001164111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002189897,"about_ca_topic_score_gemma":0.000004037642,"domain_scores_codex":[0.9985757,0.0000162567,0.000625813,0.0002328991,0.0003682151,0.0001811372],"domain_scores_gemma":[0.99928,0.0001010429,0.000242907,0.0001816565,0.00006067923,0.0001337069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001450325,0.001678174,0.9747726,0.001392907,0.00003276662,0.000008705701,0.000562451,0.0001011838,0.00252805,0.0006992316,0.004621251,0.01345766],"study_design_scores_gemma":[0.003263831,0.0003453825,0.9901308,0.0001790659,0.0005845664,0.000006481622,0.00009267087,0.002390041,0.001814107,0.0005980335,0.000487778,0.0001072636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904547,0.004333447,0.002720878,0.0003870021,0.00009633724,0.0003226923,0.00002687449,0.00002360737,0.001634464],"genre_scores_gemma":[0.9856383,0.0054321,0.008096014,0.00007395018,0.0005654127,0.000008420752,0.00008510292,0.0000142936,0.00008639323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01535819,"threshold_uncertainty_score":0.4989353,"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."}}