{"id":"W4407252955","doi":"10.18632/aging.206200","title":"Exploring the role of acylated ghrelin and gut microbiome in delineating cognitive health in the elderly","year":2025,"lang":"en","type":"article","venue":"Aging","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"All-India Institute of Medical Sciences","keywords":"Faecalibacterium prausnitzii; Dementia; Ghrelin; Microbiome; Cognitive decline; Bifidobacterium longum; Medicine; Cognition; Gut flora; Bacteroides; Internal medicine; Biology; Bioinformatics; Lactobacillus; Disease; Immunology; Bifidobacterium; Psychiatry; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006854623,0.0003313961,0.0002468774,0.0006630158,0.0003342232,0.000571086,0.0001679033,0.000390618,0.00144272],"category_scores_gemma":[0.001186185,0.0001100359,0.0003082017,0.0004787568,0.0002617126,0.0003077014,0.0004664133,0.0002122963,0.0001660188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000185259,"about_ca_system_score_gemma":0.0002948626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002584398,"about_ca_topic_score_gemma":0.003997989,"domain_scores_codex":[0.9998653,0.00004937249,0.00001114066,0.00002696922,0.00002093811,0.00002631887],"domain_scores_gemma":[0.9996895,0.00006423316,0.0001328087,0.00001852874,0.00004664317,0.00004839043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008111969,0.0001184135,0.9735251,0.0001172056,0.0001481812,0.0001670465,0.0004175479,0.0001066369,0.005468513,0.00008419694,0.0002662273,0.01876971],"study_design_scores_gemma":[0.00001137669,0.0004039824,0.9972346,0.00003275391,0.0000692985,0.0003022225,0.0003899049,0.0003414217,0.0005400261,0.0002748111,0.0003937038,0.000005871858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976019,0.001191205,0.0003949585,0.0001034971,0.000008090478,0.00001195554,0.0002616975,0.000005953399,0.0004207063],"genre_scores_gemma":[0.9981542,0.0004848239,0.0008725463,0.00006789742,0.00001268678,0.00001544282,0.000122464,0.000001460153,0.000268424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002584398,"threshold_uncertainty_score":0.005138695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145051697693361,"score_gpt":0.2927552804003589,"score_spread":0.2713047634234253,"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."}}