{"id":"W2976236713","doi":"10.1152/ajprenal.00370.2019","title":"Renal SGLT mRNA expression in human health and disease: a study in two cohorts","year":2019,"lang":"en","type":"article","venue":"American Journal of Physiology-Renal Physiology","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Diabetes Canada; University of Toronto; Toronto General Hospital; University Health Network","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Diabetic nephropathy; Nephropathy; Internal medicine; Endocrinology; Renal function; Minimal change disease; Nephrotic syndrome; Kidney disease; Glomerulosclerosis; Kidney; Glycated hemoglobin; Diabetes mellitus; Fold change; Focal segmental glomerulosclerosis; Glomerulonephritis; Gene expression; Proteinuria; Biology; Type 2 diabetes; 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":[0.0008131244,0.0004178534,0.0005300691,0.0007974325,0.0006735512,0.0006665168,0.0003342993,0.0006702595,0.001068067],"category_scores_gemma":[0.001401924,0.0003670038,0.0005469958,0.00107866,0.0004477119,0.0004762988,0.0008368734,0.0004952259,0.0002855699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003209992,"about_ca_system_score_gemma":0.0002434387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005944176,"about_ca_topic_score_gemma":0.004601337,"domain_scores_codex":[0.9992084,0.0002205863,0.00004936759,0.0003198564,0.0001062317,0.00009558372],"domain_scores_gemma":[0.9992959,0.0001118309,0.000177513,0.0001370995,0.0000845378,0.0001929808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007774186,0.00007885496,0.9954893,0.0000116057,0.0001212706,0.0001701921,0.0003681805,0.00002326835,0.0013061,0.00004091448,0.000114984,0.001497836],"study_design_scores_gemma":[0.00002180616,0.0001289173,0.9991622,0.000002645503,0.000031703,0.0001863457,0.0001401491,0.0000404616,0.00006982656,0.00001933699,0.0001931941,0.000003481553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989151,0.000182589,0.0001890714,0.00002226301,0.000005101867,0.00002194854,0.0003514943,0.000003021736,0.0003093536],"genre_scores_gemma":[0.9986168,0.000119901,0.0001570252,0.00006092231,0.00001422255,0.00004143224,0.0007255186,0.000005259357,0.0002589362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005944176,"threshold_uncertainty_score":0.01181912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031013491965207,"score_gpt":0.3137160187062089,"score_spread":0.3034058837865569,"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."}}