{"id":"W4225096578","doi":"10.1152/ajpcell.00425.2021","title":"Disuse-induced skeletal muscle atrophy in disease and nondisease states in humans: mechanisms, prevention, and recovery strategies","year":2022,"lang":"en","type":"review","venue":"American Journal of Physiology-Cell Physiology","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Instituto Nacional de Ciência e Tecnologia da Criosfera; Canadian Institutes of Health Research; Ministério da Ciência, Tecnologia e Inovação; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada","keywords":"Muscle atrophy; Skeletal muscle; Atrophy; Sarcopenia; Endocrinology; Anabolism; Internal medicine; Population; Biology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002978924,0.0006128285,0.001907788,0.0004049792,0.0001178996,0.0000189903,0.000459848,0.0002302897,0.00008976045],"category_scores_gemma":[0.0000899232,0.0005485985,0.0004794827,0.000306347,0.000724066,0.00003606467,0.0004095882,0.0007503076,0.000002472611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005244203,"about_ca_system_score_gemma":0.0007901845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007071254,"about_ca_topic_score_gemma":0.00005591013,"domain_scores_codex":[0.9960221,0.001412554,0.001001631,0.0008876154,0.0001262234,0.0005498966],"domain_scores_gemma":[0.9977994,0.0002272271,0.001233216,0.0004566835,0.00004963706,0.000233845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005522613,0.004379065,0.00008121789,0.01489823,0.001779537,0.0002745727,0.0007041068,0.001794726,0.5559625,0.0007000042,0.0007987476,0.4131047],"study_design_scores_gemma":[0.01901756,0.06617825,0.110238,0.007026484,0.004697065,0.0002083631,0.01521412,0.00008991219,0.0002933228,0.2174247,0.5497655,0.009846706],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5271077,0.472256,0.00001206321,0.00002225738,0.0001654652,0.0003522251,0.00006096043,0.000005664061,0.00001768994],"genre_scores_gemma":[0.2471825,0.7519137,0.00009327815,0.0001229052,0.0001421529,0.00008838509,0.0003875785,0.0000546084,0.00001494476],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5556692,"threshold_uncertainty_score":0.9996966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116267394575043,"score_gpt":0.2802166251919511,"score_spread":0.2685898857344468,"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."}}