{"id":"W4389349008","doi":"10.1208/s12248-023-00851-0","title":"A Population Model of Time-Dependent Changes in Serum Creatinine in (Near)term Neonates with Hypoxic-Ischemic Encephalopathy During and After Therapeutic Hypothermia","year":2023,"lang":"en","type":"article","venue":"The AAPS Journal","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Montreal Children's Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; European Maritime and Fisheries Fund; Fonds Wetenschappelijk Onderzoek","keywords":"Renal function; Medicine; Population; Gestational age; Neonatal encephalopathy; Hypothermia; Creatinine; Encephalopathy; Perinatal asphyxia; Asphyxia; Acute kidney injury; Hypoxic Ischemic Encephalopathy; Anesthesia; Pediatrics; Internal medicine; Pregnancy","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":[0.002417006,0.0007512895,0.001226526,0.0005883645,0.0003422608,0.001381638,0.001532619,0.001416585,0.00195583],"category_scores_gemma":[0.004784138,0.0005131892,0.001252524,0.000575413,0.0005066197,0.000611897,0.0007759982,0.001320827,0.0003827568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136607,"about_ca_system_score_gemma":0.001201995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03270639,"about_ca_topic_score_gemma":0.01066096,"domain_scores_codex":[0.9993176,0.0002816035,0.00002568225,0.0002089461,0.00005512816,0.0001109684],"domain_scores_gemma":[0.9979472,0.001301947,0.0002781818,0.00009284128,0.0002821215,0.00009782175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001766031,0.00008028637,0.02008235,0.0000228182,0.0002094288,0.0003100386,0.0001024011,0.9730322,0.0005644934,0.001970084,0.000369614,0.003079671],"study_design_scores_gemma":[0.00002569167,0.0001006702,0.004127273,0.0000072727,0.00005278531,0.00006358029,0.00003711906,0.9941729,0.00007366436,0.001118975,0.0002041609,0.00001579413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7916749,0.0003888055,0.2018986,0.000737291,0.00007990383,0.0001451892,0.002447958,0.0002590448,0.002368384],"genre_scores_gemma":[0.9874668,0.0002329695,0.006454473,0.00008962477,0.00002843567,0.0003206032,0.001306422,0.00003155566,0.004069192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03270639,"threshold_uncertainty_score":0.06503201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198970434934308,"score_gpt":0.2348489189893555,"score_spread":0.2228592146400125,"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."}}