{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009208112,0.0002770299,0.0004972801,0.0001914705,0.0001202827,0.00002449321,0.0003634752,0.0001498114,0.001095618],"category_scores_gemma":[0.0004438228,0.0002803581,0.00009552009,0.0009713066,0.0002951741,0.0002734593,0.0002865775,0.0002762436,0.0009924873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001914386,"about_ca_system_score_gemma":0.00002481979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003692954,"about_ca_topic_score_gemma":0.00006171251,"domain_scores_codex":[0.9972858,0.0002490179,0.0005218661,0.0006359452,0.0004609363,0.0008464633],"domain_scores_gemma":[0.9988709,0.0001844832,0.0002020548,0.0004649373,0.00001086873,0.0002667565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006074923,0.0001011825,0.6152185,0.00004028261,0.00002595259,0.000004586411,0.0007299834,0.00008097373,0.3743199,0.000006462584,0.001049174,0.008416903],"study_design_scores_gemma":[0.0006599457,0.0001715558,0.8018587,0.00005858194,0.00003475964,9.870667e-8,0.0000850074,0.001225884,0.1928353,0.0006990429,0.002038301,0.0003328876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971408,0.0001768731,0.000002987281,0.0002693057,0.0001778983,0.0004314364,0.00006041062,0.0001042844,0.001636066],"genre_scores_gemma":[0.9987684,0.0000988893,0.0001696341,0.0004673988,0.00007902951,0.00005215579,0.0001052134,0.0000528679,0.0002063887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1866402,"threshold_uncertainty_score":0.9999648,"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."}}