{"id":"W2511955506","doi":"10.1002/jcsm.12139","title":"The impact of ageing, physical activity, and pre‐frailty on skeletal muscle phenotype, mitochondrial content, and intramyocellular lipids in men","year":2016,"lang":"en","type":"article","venue":"Journal of Cachexia Sarcopenia and Muscle","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Université de Montréal; Institut Universitaire de Gériatrie de Montréal; Université du Québec à Montréal","funders":"National Institute on Aging; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Réseau québécois de recherche sur le vieillissement","keywords":"sed; Myosin; Skeletal muscle; Internal medicine; Ageing; Endocrinology; Vastus lateralis muscle; Succinate dehydrogenase; Mitochondrion; Biology; Medicine; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003795169,0.0003346367,0.0003463266,0.0002750999,0.0003016692,0.000382997,0.0001508949,0.0002270687,0.001709402],"category_scores_gemma":[0.0003574621,0.0001652645,0.0002772512,0.0002199941,0.0002379339,0.0002074748,0.0003838538,0.0002248975,0.0002502882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328814,"about_ca_system_score_gemma":0.0001490467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199067,"about_ca_topic_score_gemma":0.002088584,"domain_scores_codex":[0.9998844,0.00002393665,0.00001091355,0.00003394251,0.0000210405,0.00002563907],"domain_scores_gemma":[0.9996889,0.0000473057,0.00009191032,0.00002613757,0.00003123941,0.0001146343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004953556,0.0003721976,0.9539283,0.0001376804,0.0002327681,0.000366595,0.0005135068,0.0001163792,0.02615708,0.00005331929,0.00009713475,0.01307146],"study_design_scores_gemma":[0.0000047358,0.0005266303,0.9988773,0.000003678617,0.00002403921,0.00008032321,0.00006013676,0.0000248222,0.000308918,0.000012269,0.00007557897,0.000001501293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990268,0.000577686,0.0000633001,0.00001102176,0.000003754853,0.000005553485,0.00008907925,0.000002082049,0.0002208344],"genre_scores_gemma":[0.9990614,0.0002167069,0.00008679274,0.00001791122,0.000008854631,0.000008195251,0.000127303,0.00000143962,0.000471431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001709402,"threshold_uncertainty_score":0.005718529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04196006902561523,"score_gpt":0.3387697351493191,"score_spread":0.2968096661237039,"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."}}