{"id":"W2904189422","doi":"10.1038/s41390-018-0249-8","title":"Optimizing the AKI definition during first postnatal week using Assessment of Worldwide Acute Kidney Injury Epidemiology in Neonates (AWAKEN) cohort","year":2018,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; U.S. Food and Drug Administration; School of Medicine, University of Alabama at Birmingham; Cincinnati Children's Hospital Medical Center; National Institutes of Health; University of Alabama; National Institute of Diabetes and Digestive and Kidney Diseases; Center for Clinical and Translational Sciences, University of Texas Health Science Center at Houston; Children's of Alabama; University of Alabama at Birmingham","keywords":"Medicine; Acute kidney injury; Creatinine; Confounding; Epidemiology; Gestational age; Cohort; Internal medicine; Pediatrics; Pregnancy; Biology","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":[0.003198469,0.000529815,0.0006903536,0.001168759,0.0006586121,0.001268117,0.0008767833,0.0005163057,0.0009584374],"category_scores_gemma":[0.01044828,0.0002508778,0.001276136,0.001215219,0.0001189594,0.0008356315,0.002089443,0.001086987,0.0002210694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005989439,"about_ca_system_score_gemma":0.00205418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02588912,"about_ca_topic_score_gemma":0.03597152,"domain_scores_codex":[0.9984711,0.0004942167,0.0002385394,0.0003892205,0.0001990626,0.0002079082],"domain_scores_gemma":[0.9971796,0.0004581621,0.0009556864,0.0003779796,0.0006311414,0.0003974503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001067576,0.00002061996,0.9933121,0.00002507494,0.0001867946,0.00005247441,0.00008609541,0.0001573628,0.0001528778,0.0001171949,0.001073546,0.004709124],"study_design_scores_gemma":[0.00001073131,0.00006535603,0.9957675,0.0001048304,0.0002555478,0.0002317236,0.0004099973,0.001242488,0.000243807,0.0002295895,0.001425343,0.00001312258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870312,0.001327084,0.002943542,0.000646607,0.0001361468,0.00009480296,0.006013075,0.00003614125,0.001771411],"genre_scores_gemma":[0.9902783,0.0006111003,0.003646367,0.0001349741,0.00005595226,0.0001080876,0.004797906,0.00002898875,0.0003383818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02588912,"threshold_uncertainty_score":0.0514769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330226617424372,"score_gpt":0.4534515773869716,"score_spread":0.3204289156445345,"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."}}