{"id":"W4391912913","doi":"10.1016/j.ekir.2023.11.030","title":"Longitudinal Trajectories of Biomarkers of Kidney Tubular Function in Type 1 Diabetes","year":2024,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; National Eye Institute; National Institutes of Health; Kyowa Kirin Pharmaceutical Development; American Kidney Fund; Juvenile Diabetes Research Foundation International","keywords":"Medicine; Type 2 diabetes; Function (biology); Renal function; Diabetes mellitus; Internal medicine; Computational biology; Endocrinology; Evolutionary biology; Biology","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":[0.001478417,0.0002729123,0.0003051286,0.0004664797,0.0003008193,0.0007374834,0.0003801586,0.0004268607,0.0008008349],"category_scores_gemma":[0.003579578,0.0002057942,0.0004073191,0.001014416,0.0001395724,0.0005184804,0.0005423452,0.0006078902,0.0001670366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625538,"about_ca_system_score_gemma":0.000479983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006851869,"about_ca_topic_score_gemma":0.005726143,"domain_scores_codex":[0.9995626,0.0001295941,0.00003589554,0.0001196404,0.00007977676,0.0000725022],"domain_scores_gemma":[0.9973627,0.0003094735,0.00140308,0.0002325404,0.000405924,0.0002863655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001863003,0.00002362086,0.997422,0.00000965967,0.00007871631,0.00001214241,0.00005050919,0.0001768305,0.0001821763,0.00002556997,0.00006757285,0.001764981],"study_design_scores_gemma":[0.000003947992,0.00009828857,0.9988089,0.000008738361,0.00004025669,0.00006217099,0.00005722617,0.0005025382,0.0001230199,0.00007842356,0.0002113424,0.000005201047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972718,0.0005853253,0.0004510031,0.00008848888,0.000006062211,0.000008033277,0.001316783,0.00001002898,0.0002623212],"genre_scores_gemma":[0.9980053,0.0002442483,0.0003574348,0.00002496067,0.000006763671,0.00001101602,0.001147552,0.000003243707,0.0001993565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006851869,"threshold_uncertainty_score":0.01362401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262490499965362,"score_gpt":0.2760572742342235,"score_spread":0.2634323692345699,"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."}}