{"id":"W4413112791","doi":"10.1210/clinem/dgaf454","title":"Compartment-specific Metabolic Alterations to Insulin Reflect Adiposity-driven Variation and Predict Type 2 Diabetes","year":2025,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; McGill Genome Centre","funders":"Congressionally Directed Medical Research Programs; National Heart, Lung, and Blood Institute; National Institutes of Health; American Diabetes Association; U.S. Department of Health and Human Services","keywords":"Compartment (ship); Type 2 diabetes; Insulin resistance; Internal medicine; Endocrinology; Variation (astronomy); Insulin; Diabetes mellitus; Biology; Medicine; Geology; Physics","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":[0.0005895492,0.0006166752,0.0003308134,0.0006077326,0.0001725921,0.0006761795,0.0002917267,0.0004735235,0.001183985],"category_scores_gemma":[0.001604685,0.0002178437,0.0004317756,0.0007920903,0.0002664906,0.0003156845,0.0004445605,0.0004898874,0.0002104566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621549,"about_ca_system_score_gemma":0.0001345349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198901,"about_ca_topic_score_gemma":0.001160788,"domain_scores_codex":[0.9998053,0.00006201096,0.00001919789,0.00006360411,0.00002941079,0.00002049424],"domain_scores_gemma":[0.9989912,0.0002183175,0.0005113114,0.0001170824,0.00008502301,0.00007703556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004665869,0.0000198164,0.9945813,0.00001277716,0.0001338495,0.00004935064,0.00002391935,0.0002522661,0.00226956,0.00001822145,0.00004367308,0.002128725],"study_design_scores_gemma":[0.000006084834,0.00007321881,0.997656,0.00000518925,0.0000642622,0.000267342,0.00003728102,0.001250445,0.0004835934,0.00009019621,0.00006191202,0.000004385798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982529,0.0004178586,0.0008497121,0.00002614071,0.000005837694,0.000007462146,0.0001908724,0.00001759351,0.0002315641],"genre_scores_gemma":[0.9990373,0.00009710251,0.0005368874,0.00001618124,0.000007728959,0.000004770627,0.0002255248,0.000004604186,0.00006994291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001198901,"threshold_uncertainty_score":0.003960848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288310904073006,"score_gpt":0.3488014947706628,"score_spread":0.3199704043633622,"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."}}