{"id":"W4403880064","doi":"10.1016/j.ebiom.2024.105411","title":"Predictive gene expression signature diagnoses neonatal sepsis before clinical presentation","year":2024,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Neonatal and Maternal Infections","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; BC Cancer Agency; BC Children's Hospital; Prevention of Organ Failure; BIO (Canada); University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; Medical Research Council; Canadian Institutes of Health Research; Canada Foundation for Innovation; Medical Research Council Canada; Boston Children's Hospital; National Institutes of Health; American Academy of Pediatrics","keywords":"Medical diagnosis; Neonatal sepsis; Sepsis; Medicine; Presentation (obstetrics); Gene expression; Gene; Bioinformatics; Computational biology; Biology; Pathology; Internal medicine; Genetics; Obstetrics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002289686,0.0001894499,0.0003094352,0.000231006,0.00008017213,0.00002566382,0.00007466344,0.0001896999,0.000642121],"category_scores_gemma":[0.0001684584,0.0001258156,0.0001641548,0.0003758762,0.0001950614,0.0001976023,0.00007515357,0.0004703675,0.0001594894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006020051,"about_ca_system_score_gemma":0.0000808719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000623195,"about_ca_topic_score_gemma":0.000008123693,"domain_scores_codex":[0.9984924,0.00004929594,0.0004028936,0.0004192864,0.0004051149,0.0002310049],"domain_scores_gemma":[0.9991351,0.0002111146,0.00005262176,0.0002312269,0.0001063767,0.0002635327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001476295,0.001089365,0.07833117,0.001724228,0.001214802,0.00627709,0.004020374,0.00001851628,0.1888009,0.000789364,0.322531,0.3937269],"study_design_scores_gemma":[0.006401295,0.006655702,0.2641118,0.005383952,0.00136102,0.002227364,0.0007748134,0.002651307,0.1864678,0.003798844,0.5195258,0.0006404142],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948571,0.01122599,0.01709366,0.01091693,0.006680361,0.001187642,0.0003108068,0.0009972018,0.003016358],"genre_scores_gemma":[0.9876419,0.0004753799,0.0009636406,0.0007211649,0.003327749,0.00007191689,0.0005662419,0.00003987622,0.006192166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3930865,"threshold_uncertainty_score":0.7030775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886444360256919,"score_gpt":0.3568427812896295,"score_spread":0.3379783376870603,"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."}}