{"id":"W4381378067","doi":"10.2337/db23-406-p","title":"406-P: Spatial Metabolomics of Human Kidney Tissues Reveal Impaired Tricarboxylic Acid (TCA) Cycle Turnover in Type 1 Diabetes (T1D)","year":2023,"lang":"en","type":"article","venue":"Diabetes","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citric acid cycle; Kidney; Metabolomics; Internal medicine; Endocrinology; Tricarboxylic acid; Urea cycle; Biology; Metabolic pathway; Renal function; Chemistry; Metabolism; Biochemistry; Medicine; Amino acid; Arginine; Bioinformatics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002003194,0.0003056827,0.0002747194,0.0004654666,0.0002303545,0.0003297164,0.0001392865,0.0003134828,0.005255934],"category_scores_gemma":[0.0001661351,0.0001366216,0.0003552918,0.0004262434,0.0001536828,0.0001389037,0.0002746177,0.0003667983,0.0005948333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001635399,"about_ca_system_score_gemma":0.0001489548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970973,"about_ca_topic_score_gemma":0.002004244,"domain_scores_codex":[0.9999338,0.000007136924,0.00000490384,0.00002399891,0.00001727496,0.00001288901],"domain_scores_gemma":[0.9999129,0.00001424176,0.00002222591,0.00000943203,0.00001898798,0.00002227964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004067231,0.0001724494,0.05215668,0.0001566389,0.0001614845,0.0005067631,0.0001071549,0.0002528425,0.9268464,0.00009437244,0.00065413,0.01482381],"study_design_scores_gemma":[0.0001040041,0.001177456,0.7614405,0.00002205742,0.0001933199,0.002604416,0.0002640186,0.003081047,0.2279548,0.0002784643,0.002853577,0.00002633739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994782,0.0005683341,0.002148589,0.00008885197,0.00001779502,0.00001216822,0.001785522,0.00005675864,0.0005398692],"genre_scores_gemma":[0.9922245,0.0003097992,0.003473356,0.0001107446,0.00001020517,0.00002678726,0.002357446,0.00003218679,0.001455012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005255934,"threshold_uncertainty_score":0.01758283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507960575196649,"score_gpt":0.2579543693253755,"score_spread":0.242874763573409,"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."}}