{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002606075,0.0003567402,0.0004993915,0.0005777876,0.000267641,0.0003216974,0.0000904499,0.0002704276,0.0006231798],"category_scores_gemma":[0.0006605239,0.0001425303,0.0002353772,0.0005011523,0.0001623742,0.00021039,0.00038667,0.0002145117,0.00008576601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064472,"about_ca_system_score_gemma":0.000122263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130402,"about_ca_topic_score_gemma":0.001812429,"domain_scores_codex":[0.9998829,0.00002360668,0.00001601386,0.00003362527,0.00002138871,0.00002252515],"domain_scores_gemma":[0.9997836,0.00002670047,0.00009273808,0.00001541198,0.00003903855,0.00004255125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001037353,0.00007708713,0.9684103,0.00007532001,0.0001310546,0.0002487139,0.0003355417,0.00008766302,0.02015095,0.00002221736,0.00009601456,0.009327632],"study_design_scores_gemma":[0.000004984513,0.00026243,0.9984965,0.000006555355,0.00004530336,0.0002255274,0.0001559387,0.0001391008,0.0005215825,0.00003476353,0.0001040549,0.000003304118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989645,0.0006082006,0.0001683682,0.00001377452,0.000002896745,0.000005560527,0.0001138686,0.000002909064,0.0001199577],"genre_scores_gemma":[0.9992622,0.0001813839,0.0002335848,0.00002780588,0.000004903898,0.000006298057,0.0001561113,9.34043e-7,0.0001268275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00130402,"threshold_uncertainty_score":0.002592862,"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."}}