{"id":"W2011950779","doi":"10.1186/cc14045","title":"Defining fever: likelihood of infection diagnosis as a function of body temperature in the emergency department","year":2014,"lang":"en","type":"article","venue":"Critical Care","topic":"Thermal Regulation in Medicine","field":"Medicine","cited_by":8,"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":"Emergency department; Medicine; Sepsis; Limiting; Cutoff; Intensive care medicine; Emergency medicine; Immunology; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002503923,0.00008561172,0.000200786,0.00007658792,0.00002806912,0.000002771286,0.0000374283,0.00009671717,0.0002064586],"category_scores_gemma":[0.001824952,0.00005886517,0.0000733448,0.0002249099,0.00006886182,0.00004086374,0.00001433243,0.0001730316,0.000007155251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000374003,"about_ca_system_score_gemma":0.00003313753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004738095,"about_ca_topic_score_gemma":0.00002461397,"domain_scores_codex":[0.9989929,0.0001180559,0.0002989971,0.0001305102,0.0003263316,0.000133232],"domain_scores_gemma":[0.9992121,0.0002223665,0.00003984308,0.0002044867,0.0002636078,0.00005760735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000199799,0.000398955,0.9361658,0.001249068,0.00002992669,0.000007750921,0.002278187,0.00001575485,0.00569593,0.03626581,0.0009922612,0.01670077],"study_design_scores_gemma":[0.00073787,0.001066354,0.9894151,0.0002832287,0.0001900407,0.00001121285,0.001152851,0.00002377673,0.004263025,0.0009887757,0.001807254,0.00006050938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954029,0.001072922,0.000110537,0.001111179,0.0003049228,0.0002205074,0.000005056022,0.00002399063,0.001747993],"genre_scores_gemma":[0.9993328,0.00003826925,0.0000595782,0.0003152229,0.0001367606,0.00006706514,0.00002989153,0.00001347817,0.000006976427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05324932,"threshold_uncertainty_score":0.2400452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009137138826767751,"score_gpt":0.3090559824819796,"score_spread":0.2999188436552118,"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."}}