{"id":"W4407836309","doi":"10.1681/asn.0000000668","title":"Indexing GFR Using Extracellular Volume versus Body Surface Area in a Population with Type 1 Diabetes and Diabetic Kidney Disease","year":2025,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; University Health Network; Lunenfeld-Tanenbaum Research Institute; Toronto General Hospital; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institute on Aging; National Institute of Diabetes and Digestive and Kidney Diseases; Juvenile Diabetes Research Foundation United States of America","keywords":"Type 2 diabetes; Population; Medicine; Body surface area; Extracellular fluid; Volume (thermodynamics); Diabetes mellitus; Extracellular; Ophthalmology; Internal medicine; Urology; Endocrinology; Chemistry; Biochemistry","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":[0.0009322047,0.0003554525,0.0006929493,0.001283846,0.0004650443,0.001101205,0.0004346562,0.000624748,0.001066079],"category_scores_gemma":[0.004741425,0.0001607818,0.0007376633,0.001448987,0.0004391106,0.001014229,0.0007074377,0.0009978457,0.0001523411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004608415,"about_ca_system_score_gemma":0.000481431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007127905,"about_ca_topic_score_gemma":0.006846079,"domain_scores_codex":[0.9994457,0.0001899416,0.00008836797,0.00009315101,0.0001086614,0.00007415089],"domain_scores_gemma":[0.9983176,0.0005819619,0.0005909447,0.0001037363,0.0001535895,0.000252072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003352045,0.00005690715,0.9981224,0.000006254538,0.0000596367,0.00004816795,0.00006352369,0.00008366533,0.0000664667,0.00002958437,0.0000601104,0.001068042],"study_design_scores_gemma":[0.00002010584,0.0003411643,0.9969727,0.000007340016,0.00008201865,0.000275769,0.0004061107,0.001543434,0.00005673561,0.0001537344,0.0001305251,0.00001040779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999145,0.0001744487,0.00006107236,0.0000499687,0.000009690847,0.000004035026,0.0001481402,0.000003382607,0.0004042722],"genre_scores_gemma":[0.9996959,0.00004617151,0.00005998319,0.00001982644,0.00001292609,0.000003065985,0.0001068276,0.000001090374,0.00005417522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007127905,"threshold_uncertainty_score":0.01417285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415031947709738,"score_gpt":0.2760590043715188,"score_spread":0.2619086848944214,"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."}}