{"id":"W3162862747","doi":"10.1172/jci.insight.147464","title":"Urinary EGF and MCP-1 and risk of CKD after cardiac surgery","year":2021,"lang":"en","type":"article","venue":"JCI Insight","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; National Institute for Occupational Safety and Health; Sphingotec GmbH; Ontario Ministry of Health and Long-Term Care; NxStage; University of Michigan; Moderna; Eli Lilly and Company; AstraZeneca; Astute Medical; Janssen Pharmaceuticals; Gilead Sciences; Yale University; Novo Nordisk; Canadian Institutes of Health Research; American Heart Association","keywords":"Kidney disease; Medicine; Acute kidney injury; Urinary system; Renal function; Internal medicine; Incidence (geometry); Transcriptome; Cardiac surgery; Inflammation; Kidney; Urology; Cardiology; Surgery; Gene expression; Biology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002488607,0.0001067286,0.0004022255,0.0001131083,0.00003766338,0.00001339812,0.00002522743,0.00009755908,0.0003496163],"category_scores_gemma":[0.0003957988,0.00008719475,0.00008904008,0.0001906393,0.0001451892,0.00007891167,0.0001473964,0.0002229946,0.00001781279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001965232,"about_ca_system_score_gemma":0.0001901364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003357175,"about_ca_topic_score_gemma":0.000002122061,"domain_scores_codex":[0.9989721,0.0001292409,0.0001957283,0.0002460727,0.0002613124,0.0001954993],"domain_scores_gemma":[0.9989707,0.0002959199,0.00004300141,0.0003223049,0.0001390296,0.0002290593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003861605,0.0001661301,0.8921191,0.0003066285,0.0002977487,0.000973354,0.0005302627,6.206232e-9,0.006374746,0.00002396109,0.09274112,0.006080839],"study_design_scores_gemma":[0.0004498283,0.0001969808,0.7181277,0.0001121802,0.0001998144,0.0001696617,0.0001256668,0.00001099736,0.01990616,0.00006341558,0.2605155,0.0001221556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811043,0.009394451,0.000003808889,0.001199454,0.0001348349,0.0001427356,0.0002036262,0.00001735241,0.007799457],"genre_scores_gemma":[0.9885882,0.007168221,0.0002838293,0.0002668288,0.0001809246,0.00002721898,0.00004566031,0.00002202463,0.003417164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1739914,"threshold_uncertainty_score":0.3828053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990642814757351,"score_gpt":0.2837686761904264,"score_spread":0.2638622480428529,"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."}}