{"id":"W2081543083","doi":"10.1542/peds.2008-0377","title":"Using a Count of Neonatal Morbidities to Predict Poor Outcome in Extremely Low Birth Weight Infants: Added Role of Neonatal Infection","year":2008,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Neonatal and Maternal Infections","field":"Medicine","cited_by":277,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Glenrose Rehabilitation Hospital; University of Toronto; McMaster University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Center for Research Resources","keywords":"Medicine; Necrotizing enterocolitis; Retinopathy of prematurity; Bronchopulmonary dysplasia; Pediatrics; Enterocolitis; Meningitis; Neonatal infection; Odds ratio; Intraventricular hemorrhage; Birth weight; Low birth weight; Neonatal sepsis; Sepsis; Gestational age; Internal medicine; Pregnancy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003107055,0.001396675,0.0005969116,0.001255239,0.0003075504,0.001029302,0.0009921546,0.00100815,0.002334188],"category_scores_gemma":[0.01694485,0.0003358792,0.001378922,0.0009439974,0.0006755811,0.0006484765,0.0009454974,0.001543995,0.0004877379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774658,"about_ca_system_score_gemma":0.001054291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004532482,"about_ca_topic_score_gemma":0.003830774,"domain_scores_codex":[0.9981874,0.001152104,0.0001293741,0.0001564615,0.0002038497,0.0001708504],"domain_scores_gemma":[0.9879056,0.007470879,0.001994911,0.0005793328,0.0007163738,0.001332869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003038029,0.00003998549,0.9970806,0.000009164626,0.0001117612,0.0000679108,0.000009799566,0.001063469,0.00008938845,0.000009837715,0.00004712593,0.001167228],"study_design_scores_gemma":[0.00006222505,0.001156323,0.9340661,0.00007223424,0.0005586791,0.001280942,0.0001290435,0.06150725,0.0005704327,0.0002725873,0.0002870668,0.00003713169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975371,0.0004988876,0.001066358,0.0002432991,0.00003035274,0.00001324866,0.0001931555,0.00002057462,0.0003969307],"genre_scores_gemma":[0.9986217,0.0001494892,0.0007465465,0.00002049338,0.0000295286,0.00001024155,0.0002270998,0.000004909306,0.0001899948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004532482,"threshold_uncertainty_score":0.01643187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914171621275117,"score_gpt":0.2764053703344694,"score_spread":0.2472636541217183,"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."}}