{"id":"W2030916112","doi":"10.2147/clep.s72282","title":"Sepsis in Canadian children: a national analysis using administrative data","year":2014,"lang":"en","type":"article","venue":"Clinical Epidemiology","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia; Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Medicine; Sepsis; Pediatrics; Cohort; Population; Odds ratio; Odds; Psychological intervention; Emergency medicine; Intensive care medicine; Internal medicine; Logistic regression; Environmental health","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006409771,0.0001415716,0.001209598,0.000306783,0.00005070677,0.000003841159,0.0001981017,0.0002696745,0.0003191662],"category_scores_gemma":[0.03296788,0.0001132013,0.000259343,0.0004687175,0.0001897118,0.00004157883,0.00006982813,0.0002918165,0.00005991618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996195,"about_ca_system_score_gemma":0.0006827903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1040946,"about_ca_topic_score_gemma":0.2759101,"domain_scores_codex":[0.9964793,0.001156209,0.001161307,0.0006770844,0.0001034336,0.0004226255],"domain_scores_gemma":[0.9907389,0.007727575,0.0002309069,0.0006594828,0.00008533746,0.0005578562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002336567,0.0002458004,0.9917821,0.000001829187,0.000898121,0.00001006121,0.000008358576,0.0001380856,2.045134e-7,0.001858215,0.00274151,0.002292372],"study_design_scores_gemma":[0.0008464074,0.0002206675,0.95085,0.00001743052,0.0006384373,0.00001215738,0.000007834385,0.04177574,7.462518e-7,0.0009213041,0.004619601,0.00008973408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784017,0.0003122744,0.0003940274,0.01801923,0.0001518899,0.0002768514,0.0001655208,0.00001749135,0.002261088],"genre_scores_gemma":[0.9742628,0.00009950118,0.005888172,0.01847074,0.000249932,0.00001214566,0.0009856308,0.000008885705,0.00002222974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1718155,"threshold_uncertainty_score":0.9751778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.669073383099606,"score_gpt":0.5938584463520648,"score_spread":0.0752149367475412,"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."}}