{"id":"W4410102130","doi":"10.1177/13872877251336618","title":"Presence of chronic morbidities alters skeletal muscle health and amino acid kinetics in mild cognitive impairment","year":2025,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Sarcopenia; Taurine; Internal medicine; Lean body mass; Endocrinology; Protein catabolism; Skeletal muscle; Phenylalanine; Muscle weakness; Medicine; Leucine; Anabolism; Population; Amino acid; Chemistry; Biochemistry; Body weight","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":[0.0001980675,0.0002856764,0.0002569454,0.0005492148,0.0003301537,0.0003830441,0.0001660652,0.0002925556,0.001496901],"category_scores_gemma":[0.0007410944,0.0001740078,0.0002415983,0.0003934246,0.0002091988,0.0001898244,0.0003219318,0.0002326218,0.0001856719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013825,"about_ca_system_score_gemma":0.0001735147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007400533,"about_ca_topic_score_gemma":0.01235704,"domain_scores_codex":[0.9998885,0.00001661414,0.00001370023,0.00002409611,0.00002293518,0.00003418568],"domain_scores_gemma":[0.9996598,0.00002907744,0.0001837439,0.00001425495,0.00003677489,0.00007636537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001852321,0.00004197433,0.9972676,0.00000906883,0.00004244142,0.0000787642,0.00003945302,0.00001535061,0.0005351814,0.000005679411,0.00003727859,0.001741955],"study_design_scores_gemma":[0.000001308182,0.00003827556,0.9998314,0.000001056613,0.000005552259,0.00004939654,0.000017079,0.00001608894,0.00002002363,0.000004617893,0.00001468681,4.178913e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999516,0.0002315758,0.00001975286,0.00001214737,0.000002015272,0.000002204325,0.00006579862,0.000001414567,0.0001490456],"genre_scores_gemma":[0.9996332,0.00008459554,0.00003332982,0.00001441751,0.000005409353,0.000002060862,0.0001006791,4.54436e-7,0.0001257923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007400533,"threshold_uncertainty_score":0.01471496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829309155735793,"score_gpt":0.3573974752479296,"score_spread":0.3191043836905716,"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."}}