{"id":"W4412416130","doi":"10.37275/bsm.v9i9.1384","title":"The Gut-Muscle Axis in Sarcopenia: A Meta-Analysis of Microbiome Alterations and Their Correlation with Muscle Mass, Strength, and Physical Performance in Older Adults","year":2025,"lang":"en","type":"article","venue":"Bioscientia Medicina Journal of Biomedicine and Translational Research","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sarcopenia; Muscle strength; Muscle mass; Microbiome; Gut microbiome; Physical medicine and rehabilitation; Medicine; Meta-analysis; Biology; Physiology; Bioinformatics; Internal medicine","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":[0.0142857,0.002434019,0.01396802,0.005801311,0.0007997105,0.003528373,0.001602011,0.001940418,0.002325915],"category_scores_gemma":[0.02344671,0.001305073,0.04263975,0.007188477,0.000676193,0.001510097,0.001931331,0.001705051,0.0002694016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146111,"about_ca_system_score_gemma":0.002815646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007634038,"about_ca_topic_score_gemma":0.01324987,"domain_scores_codex":[0.9908408,0.004532183,0.002399214,0.001165175,0.0007239137,0.0003387314],"domain_scores_gemma":[0.9849974,0.01038222,0.002437844,0.0007330248,0.001163821,0.0002855696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002055162,0.00003082278,0.02101167,0.1180981,0.8498603,0.0001249196,0.00007594145,0.0005269677,0.0003278752,0.00008746361,0.0003322004,0.007468577],"study_design_scores_gemma":[0.0002300343,0.000163495,0.01109752,0.00798938,0.9792987,0.00007080925,0.00003199065,0.000225785,0.00008027827,0.0001174839,0.0006774552,0.00001700234],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01715051,0.9804698,0.0008071309,0.0002536977,0.0001353399,0.000141633,0.0007903662,0.00003253682,0.0002190417],"genre_scores_gemma":[0.5022329,0.4897861,0.00374905,0.0009035093,0.0003685809,0.0008317118,0.001678605,0.00005645215,0.0003931954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0142857,"threshold_uncertainty_score":0.07555091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05187579793566175,"score_gpt":0.3733329714707322,"score_spread":0.3214571735350705,"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."}}