{"id":"W1507816258","doi":"10.1139/h09-012","title":"Anabolic resistance: the effects of aging, sexual dimorphism, and immobilization on human muscle protein turnoverThis paper is one of a selection of papers published in this Special Issue, entitled 14th International Biochemistry of Exercise Conference – Muscles as Molecular and Metabolic Machines, and has undergone the Journal’s usual peer review process.","year":2009,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; National Institutes of Health; Unilever","keywords":"Anabolism; Endocrinology; Protein catabolism; Internal medicine; Protein metabolism; Catabolism; Insulin resistance; Amino acid; Biology; Sarcopenia; Myofibril; Insulin; Metabolism; Medicine; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003871702,0.0001740894,0.0004253072,0.00009692604,0.00008176234,0.00001737469,0.0001223471,0.0001364715,0.0001999011],"category_scores_gemma":[0.000123385,0.0001283002,0.0000420698,0.0001789835,0.0003514272,0.00002563721,0.00004342571,0.0001562028,6.188493e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000345445,"about_ca_system_score_gemma":0.00003883978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003708862,"about_ca_topic_score_gemma":0.00001211593,"domain_scores_codex":[0.9988104,0.0001327859,0.0004029325,0.0002768766,0.0002554751,0.0001215715],"domain_scores_gemma":[0.9990723,0.0000268074,0.0003897453,0.0001685003,0.0003000952,0.00004257873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001984401,0.0002797206,0.00002616468,0.001031925,0.0000534937,1.808616e-7,0.0002949139,4.18074e-7,0.9904717,0.001322447,0.0006641285,0.005656481],"study_design_scores_gemma":[0.003174909,0.0001091759,0.051611,0.0006838721,0.0002215708,0.000005527997,0.0001635114,0.000006048585,0.9305157,0.003762651,0.009585003,0.0001610499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669452,0.03118685,0.00000998659,0.0009312936,0.00004648701,0.0006299517,0.00002728083,0.000002989379,0.0002199946],"genre_scores_gemma":[0.9588869,0.04034626,0.00007238381,0.0002844793,0.0001878692,0.00004514406,0.00009156859,0.000009876024,0.00007555411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.059956,"threshold_uncertainty_score":0.5231931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008022064549323865,"score_gpt":0.2509160773123973,"score_spread":0.2428940127630734,"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."}}