{"id":"W4386084771","doi":"10.1080/19490976.2023.2246185","title":"Carbohydrate quality, fecal microbiota and cardiometabolic health in older adults: a cohort study","year":2023,"lang":"en","type":"article","venue":"Gut Microbes","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Instituto de Salud Carlos III; Canadian Institutes of Health Research; Institució Catalana de Recerca i Estudis Avançats; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición; Generalitat Valenciana; Almond Board of California","keywords":"Gut flora; Biology; Feces; Body mass index; Glycated hemoglobin; Population; Fecal coliform; Internal medicine; Type 2 diabetes; Diabetes mellitus; Medicine; Endocrinology; Microbiology; Environmental health; Immunology; Ecology; Water quality","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009310523,0.0002676661,0.0005327693,0.0002644955,0.000139683,0.00004875097,0.0001986949,0.0001596916,0.000009518747],"category_scores_gemma":[0.00003221936,0.0002660526,0.00008684037,0.0005326231,0.00008769878,0.000005243626,0.0003158243,0.0001779566,0.00004585298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004193973,"about_ca_system_score_gemma":0.0001815817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002871186,"about_ca_topic_score_gemma":0.003607781,"domain_scores_codex":[0.9977018,0.0003066389,0.0005061174,0.0007515191,0.00009022151,0.0006437645],"domain_scores_gemma":[0.9991823,0.00001477531,0.0001116414,0.000479245,0.00005643727,0.0001555574],"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":[0.00005750184,0.0002223817,0.277827,0.0001222918,0.00007401267,0.000008454745,0.001025299,0.000003594168,0.7145377,0.000008319252,0.004653899,0.00145951],"study_design_scores_gemma":[0.001887033,0.0002073995,0.9844671,0.00005922469,0.00001478165,0.00002097669,0.0011435,0.000003802723,0.003403898,0.000005995711,0.008474751,0.0003114804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944462,0.003158612,0.000007593531,0.0007194906,0.0002127322,0.001205035,0.0001323179,0.00004630673,0.0000717353],"genre_scores_gemma":[0.9963785,0.001798312,0.00008476843,0.0007003216,0.0001337036,0.00005507236,0.0003540146,0.00004201577,0.0004532817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7111338,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023221147539454,"score_gpt":0.3065354891991184,"score_spread":0.2963032777237238,"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."}}