{"id":"W4283760719","doi":"10.1038/s43856-022-00140-5","title":"Visceral adiposity is associated with metabolic profiles predictive of type 2 diabetes and myocardial infarction","year":2022,"lang":"en","type":"article","venue":"Communications Medicine","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; University of Calgary; University of Toronto; SickKids Foundation; Hospital for Sick Children; Université du Québec à Chicoutimi","funders":"Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health; Heart and Stroke Foundation of Canada","keywords":"Metabolome; Medicine; Type 2 diabetes; Internal medicine; Diabetes mellitus; Myocardial infarction; Metabolomics; Body mass index; Obesity; Endocrinology; Cardiology; Physiology; Bioinformatics; Metabolite; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005663902,0.0003313188,0.0002938134,0.0005764826,0.0002359805,0.0007078882,0.0002384999,0.0004443365,0.001845838],"category_scores_gemma":[0.002460665,0.0002962069,0.0004540412,0.0006952672,0.0002115696,0.0002464764,0.0004004849,0.0006644543,0.0002057238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106934,"about_ca_system_score_gemma":0.0001424741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832069,"about_ca_topic_score_gemma":0.001732677,"domain_scores_codex":[0.9996476,0.0001229204,0.00005319517,0.00009049443,0.00004325649,0.00004259101],"domain_scores_gemma":[0.9978887,0.0004349382,0.001071146,0.0001291526,0.000149848,0.0003262379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001045658,0.00001353042,0.9991431,0.00000421411,0.00006409999,0.00003012192,0.00001310045,0.00002103116,0.0001383335,0.000007510979,0.00002624584,0.0004340535],"study_design_scores_gemma":[0.000003898345,0.00004013771,0.9995152,0.000004079345,0.00003786166,0.0001367186,0.00003175657,0.0001443341,0.0000377102,0.00001443931,0.00003254415,0.000001360891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988625,0.0003889112,0.0001245089,0.00004195647,0.0000102229,0.000004846256,0.0002318109,0.000003481023,0.0003318883],"genre_scores_gemma":[0.9994561,0.0001066283,0.0001148045,0.00001545335,0.00001548155,0.000004380533,0.0001919745,0.000001493769,0.00009364034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001845838,"threshold_uncertainty_score":0.006174922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373310112866341,"score_gpt":0.2541599061204702,"score_spread":0.2404268049918068,"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."}}