{"id":"W1987122034","doi":"10.2174/1874609811104030234","title":"The Impact of Old Age on Skeletal Muscle Energetics: Supply and Demand","year":2011,"lang":"en","type":"review","venue":"Current Aging Science","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"","keywords":"Skeletal muscle; Wasting; Sarcopenia; Oxidative phosphorylation; Glycolysis; Biology; Energy demand; Bioenergetics; Endocrinology; Internal medicine; Metabolism; Cell biology; Biochemistry; Medicine; Mitochondrion; Economics","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":[0.000348696,0.0006968221,0.00127705,0.001143469,0.0002410787,0.0007931401,0.0006759227,0.001201443,0.002319973],"category_scores_gemma":[0.0004508993,0.0001873281,0.0003278242,0.001186011,0.0004512793,0.001197113,0.0005584816,0.001045778,0.001526128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005892088,"about_ca_system_score_gemma":0.0007767011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110588,"about_ca_topic_score_gemma":0.001392442,"domain_scores_codex":[0.999862,0.00001898855,0.00002077528,0.00002807471,0.00005403735,0.00001626054],"domain_scores_gemma":[0.9998536,0.00005362737,0.00002685229,0.000004626733,0.00004527206,0.00001605287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001012755,0.00005002402,0.0004577642,0.01307228,0.00008691061,0.0003074046,0.00007856962,0.0003084677,0.004323623,0.003567386,0.01753974,0.9601065],"study_design_scores_gemma":[0.00001922524,0.0002189243,0.005003636,0.004751433,0.000154351,0.003302477,0.0001951659,0.0001752552,0.00176452,0.005069304,0.9793087,0.00003711616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003288825,0.9981647,0.0001647239,0.0003383048,0.0002202866,0.000002293573,0.00001679517,0.000006450965,0.0007576409],"genre_scores_gemma":[0.001310527,0.9976247,0.0001900851,0.0001458022,0.0001679578,0.000004555801,0.00001889166,0.00000124151,0.0005363427],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002319973,"threshold_uncertainty_score":0.007761061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03473736091072224,"score_gpt":0.3470113731717582,"score_spread":0.312274012261036,"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."}}