{"id":"W3198739944","doi":"10.1097/inf.0000000000003344","title":"Machine Learning Used to Compare the Diagnostic Accuracy of Risk Factors, Clinical Signs and Biomarkers and to Develop a New Prediction Model for Neonatal Early-onset Sepsis","year":2021,"lang":"en","type":"article","venue":"The Pediatric Infectious Disease Journal","topic":"Neonatal and Maternal Infections","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences; St. Joseph’s Healthcare Hamilton; McMaster Children's Hospital","funders":"Fonds NutsOhra; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Diagnostic accuracy; Population; Predictive modelling; Risk assessment; Clinical Practice; Sepsis; Neonatal sepsis","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0005299483,0.0001797845,0.0002924367,0.0001488976,0.0005788621,0.00008827705,0.00007582056,0.00004141173,0.00002811492],"category_scores_gemma":[0.008909925,0.0001083663,0.0001454062,0.0004566869,0.00005483684,0.0001096979,0.0001365373,0.000455366,0.000003341097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004671658,"about_ca_system_score_gemma":0.0004914061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000385693,"about_ca_topic_score_gemma":0.0001627946,"domain_scores_codex":[0.9986069,0.0002153381,0.0004788559,0.0002195099,0.0002415363,0.000237824],"domain_scores_gemma":[0.9953699,0.003202094,0.0002347252,0.0001612811,0.000328565,0.0007034517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004098056,0.000100508,0.990806,0.00004937122,0.0001951443,0.00001740568,0.001356763,0.002774048,0.00002002032,0.000007234701,0.001458038,0.002805596],"study_design_scores_gemma":[0.001927045,0.0004775143,0.9846674,0.00005510919,0.001626115,0.0004923282,0.0001981669,0.009046086,0.00002166413,0.0008274079,0.0005063359,0.0001547885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675481,0.0009022301,0.02909611,0.001068697,0.0003056775,0.0005692695,0.000464646,0.00003910938,0.000006121934],"genre_scores_gemma":[0.9970138,0.001745433,0.0003107152,0.0002094115,0.0005607075,0.00002339831,0.0000282563,0.00002379732,0.00008445545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02946569,"threshold_uncertainty_score":0.9994385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587209789351224,"score_gpt":0.3173606691234518,"score_spread":0.2814885712299396,"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."}}