{"id":"W2068213275","doi":"10.1371/journal.pone.0096264","title":"Fasting Blood Glucose-A Missing Variable for GFR-Estimation in Type 1 Diabetes?","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto; Toronto General Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Center for Advancing Translational Sciences; Kidney Foundation of Canada; Pharmaceutical Research and Manufacturers of America Foundation; National Institutes of Health; National Center for Research Resources; American Diabetes Association","keywords":"Medicine; Internal medicine; Diabetes mellitus; Endocrinology; Type 1 diabetes; Type 2 diabetes; Diabetic nephropathy; Renal function; Cystatin C; Nephropathy; Glomerular hyperfiltration","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":[0.04113825,0.0008211414,0.00165922,0.001378871,0.0006318086,0.001507095,0.00204965,0.001301092,0.00247646],"category_scores_gemma":[0.1106016,0.0006667976,0.00186353,0.004344038,0.001074728,0.001651116,0.001085365,0.002323195,0.0003277042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006497146,"about_ca_system_score_gemma":0.0008529433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004722128,"about_ca_topic_score_gemma":0.003813412,"domain_scores_codex":[0.9624379,0.02828073,0.002895231,0.003461705,0.002277188,0.0006471495],"domain_scores_gemma":[0.8920411,0.07586561,0.02036464,0.008586142,0.002352852,0.0007896607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001042092,0.0001253275,0.9300583,0.000861666,0.004051596,0.0003199099,0.0003527841,0.002774915,0.0001985943,0.002419124,0.006432575,0.05136312],"study_design_scores_gemma":[0.0003335708,0.000761718,0.919996,0.003687885,0.003369741,0.002823641,0.0008081826,0.02704693,0.00124475,0.02857638,0.01115598,0.0001953066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.7550226,0.04616856,0.1484585,0.02300987,0.003125999,0.0002515657,0.01933483,0.0006100802,0.004017922],"genre_scores_gemma":[0.9756988,0.003125815,0.01380899,0.002504406,0.0005649929,0.0002071089,0.003704355,0.00006020996,0.0003252707],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04113825,"threshold_uncertainty_score":0.2175624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159200818186926,"score_gpt":0.2479592768173349,"score_spread":0.2163672686354657,"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."}}