{"id":"W2051276814","doi":"10.1186/cc14024","title":"Sepsis electronic surveillance and clinical outcomes: impact over mortality of a sepsis early detection electronic rule implemented in the emergency department","year":2014,"lang":"en","type":"article","venue":"Critical Care","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Children's Health Foundation; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina; Financiadora de Estudos e Projetos; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Japan Society for the Promotion of Science; Russian Foundation for Basic Research; London Health Sciences Centre","keywords":"Medicine; Sepsis; Septic shock; Electronic surveillance; Emergency department; Intensive care medicine; Emergency medicine; Medical emergency; Severe sepsis; Computer security; Internal medicine; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005026992,0.0002673413,0.0003772729,0.0007989316,0.0003350961,0.001852931,0.0004662946,0.0005797393,0.002808784],"category_scores_gemma":[0.04424548,0.0001705575,0.0006641324,0.0009738058,0.0003033275,0.001431535,0.001308028,0.001156254,0.0003673549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004867045,"about_ca_system_score_gemma":0.0008319384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928788,"about_ca_topic_score_gemma":0.002512744,"domain_scores_codex":[0.994172,0.003247648,0.0005680501,0.0003200473,0.001379204,0.000313109],"domain_scores_gemma":[0.9638594,0.01835944,0.01084746,0.001826828,0.003031188,0.00207569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001897997,0.0008378132,0.9242944,0.00009659195,0.000300831,0.00006992753,0.00009534106,0.0006441718,0.0001321961,0.0001735729,0.001657715,0.06979949],"study_design_scores_gemma":[0.0001589057,0.001588762,0.9910722,0.0002872311,0.0003421865,0.0002444245,0.0003650021,0.003821208,0.0004887728,0.0004070006,0.001202683,0.00002169275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854638,0.001629767,0.0009521052,0.004215641,0.000222906,0.00005219273,0.0007689513,0.00006430183,0.006630349],"genre_scores_gemma":[0.997116,0.0005018206,0.0007564061,0.0004670935,0.0001688781,0.000023493,0.0004587533,0.000008811569,0.0004987388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005026992,"threshold_uncertainty_score":0.02658564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05534050118691565,"score_gpt":0.4443927091529586,"score_spread":0.389052207966043,"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."}}