{"id":"W4223421819","doi":"10.3389/fmed.2022.827174","title":"Distinct Serum and Fecal Metabolite Profiles Linking With Gut Microbiome in Older Adults With Frailty","year":2022,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Metabolome; Feces; Metabolomics; Microbiome; Gut flora; Physiology; Biology; Roseburia; Metabolite; Medicine; Bacteroides; Internal medicine; Bioinformatics; Immunology; Endocrinology; Microbiology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002983447,0.0001729411,0.0003248661,0.0001503976,0.00009549447,0.000006108462,0.0001340833,0.00007131828,0.00002868836],"category_scores_gemma":[0.0000125536,0.0001257288,0.0000146775,0.0002513313,0.0001883592,0.000004050053,0.0001071069,0.0002755242,2.440716e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000389322,"about_ca_system_score_gemma":0.00008977504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000143708,"about_ca_topic_score_gemma":0.0002961095,"domain_scores_codex":[0.9988233,0.00009127228,0.0002155065,0.0004201876,0.0001251989,0.0003245113],"domain_scores_gemma":[0.9996075,0.000005886717,0.00007905871,0.000205802,0.00002581073,0.0000759276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001506613,0.000167059,0.8966135,0.0003143875,0.0000690998,0.00009635289,0.002373572,0.00001905961,0.0852097,0.00001664268,0.007400342,0.006213612],"study_design_scores_gemma":[0.009343847,0.001494762,0.9395555,0.0004694175,0.00004974622,0.0001637634,0.004334313,0.0001038968,0.00260949,0.0000276222,0.04142984,0.000417832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913802,0.006256918,0.0007143132,0.000814989,0.0002059172,0.0004341229,0.00004723364,0.000008165045,0.0001381129],"genre_scores_gemma":[0.9944206,0.0001839856,0.003905508,0.0005852525,0.0001234317,0.00005447637,0.0003746472,0.00002534202,0.0003267862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08260021,"threshold_uncertainty_score":0.5127071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005169807863719173,"score_gpt":0.2313997845898674,"score_spread":0.2262299767261483,"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."}}