{"id":"W2775759926","doi":"10.1038/s41598-017-18371-1","title":"Using newborn screening analytes to identify cases of neonatal sepsis","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neonatal and Maternal Infections","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Institute for Clinical Evaluative Sciences; Ottawa Hospital; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; Bill and Melinda Gates Foundation","keywords":"Sepsis; Medicine; Gestational age; Logistic regression; Newborn screening; Gestation; Pediatrics; Neonatal sepsis; Pregnancy; Obstetrics; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003344123,0.000578627,0.000552047,0.00198827,0.0004445278,0.001176851,0.0006859135,0.0003530882,0.0006855135],"category_scores_gemma":[0.01616057,0.0002643417,0.0005927068,0.002598835,0.0003153909,0.0004883392,0.0009949366,0.0004585823,0.0001485815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002393947,"about_ca_system_score_gemma":0.004911142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2206287,"about_ca_topic_score_gemma":0.2504003,"domain_scores_codex":[0.9973446,0.001074844,0.000325674,0.0002940144,0.0006600464,0.0003009167],"domain_scores_gemma":[0.9947549,0.00155609,0.002135228,0.0002926268,0.0009463603,0.000314778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003821796,0.000008320074,0.9953179,0.00002501471,0.00003919919,0.00003944906,0.00004583737,0.0002201153,0.0000973421,0.00003341641,0.0001830689,0.003952139],"study_design_scores_gemma":[0.000009816629,0.0000808375,0.9918324,0.0001032319,0.0001289876,0.0002375137,0.0003012982,0.005328952,0.0006822925,0.0001544976,0.001127414,0.00001278648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887602,0.002650106,0.002603088,0.0006485962,0.00004895548,0.00006417861,0.002684319,0.00006852338,0.002472033],"genre_scores_gemma":[0.9957424,0.0008467425,0.002021649,0.00008255158,0.0000145838,0.00002901287,0.0009707604,0.000005215838,0.0002871334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2206287,"threshold_uncertainty_score":0.4386889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08919101079848324,"score_gpt":0.3966002528914837,"score_spread":0.3074092420930004,"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."}}