{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003421802,0.0001805156,0.0002113033,0.0003232509,0.000213166,0.000492413,0.0001864781,0.0002163016,0.001022458],"category_scores_gemma":[0.001069188,0.00008132243,0.000222968,0.000374379,0.0001692727,0.0001578563,0.0002946845,0.000504336,0.00007799395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003559106,"about_ca_system_score_gemma":0.0004409305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005154902,"about_ca_topic_score_gemma":0.008040376,"domain_scores_codex":[0.999806,0.00002526825,0.00001566146,0.00004998035,0.00005835309,0.00004479782],"domain_scores_gemma":[0.9991344,0.0001630893,0.0003821531,0.00003382763,0.000134568,0.000151998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002566299,0.00002056763,0.9942934,0.00003694562,0.00005843203,0.00002816551,0.00002375393,0.00009119745,0.001351969,0.00001731768,0.0001022527,0.003719426],"study_design_scores_gemma":[0.000002827384,0.00005168649,0.9985541,0.00001004573,0.00003556527,0.0001319034,0.00004208431,0.0003425384,0.0006082261,0.00003149776,0.0001861029,0.00000347027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974335,0.001622272,0.0002205299,0.00007357461,0.000008853179,0.000004843178,0.0004050708,0.000008747917,0.0002227228],"genre_scores_gemma":[0.9991723,0.0002763951,0.0001772808,0.00002859456,0.00001029589,0.000003314009,0.0002153241,0.000001253026,0.0001153153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005154902,"threshold_uncertainty_score":0.01024979,"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."}}