{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006595684,0.0005127603,0.0004737107,0.001163315,0.0001683966,0.0004659554,0.0002784233,0.0003887457,0.0007399163],"category_scores_gemma":[0.001787244,0.000113525,0.000262666,0.0005623308,0.0002175403,0.0001593156,0.0003665597,0.0004171141,0.0002712149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003225211,"about_ca_system_score_gemma":0.0003490045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110579,"about_ca_topic_score_gemma":0.001237353,"domain_scores_codex":[0.9997693,0.00005854962,0.00001940678,0.00005299686,0.00004818668,0.00005167148],"domain_scores_gemma":[0.9992769,0.0002495855,0.0002229999,0.00003250277,0.0001358927,0.0000820155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007887528,0.00009209602,0.9480352,0.00009803842,0.00005934485,0.0006184211,0.00009062317,0.001527629,0.03136943,0.00007842534,0.0005199874,0.01672198],"study_design_scores_gemma":[0.00003255349,0.0005755478,0.9454985,0.0001013793,0.0001276876,0.002493175,0.0003724282,0.02491366,0.0235807,0.0005097874,0.001769321,0.00002533903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956272,0.0005077521,0.002242926,0.0000759241,0.00001717508,0.00003577509,0.000846211,0.00003977363,0.0006072791],"genre_scores_gemma":[0.9946569,0.0002176499,0.003467375,0.00004934974,0.000009323867,0.00003722507,0.001365294,0.000006259425,0.0001904996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001163315,"threshold_uncertainty_score":0.003488183,"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."}}