{"id":"W4389070094","doi":"10.1002/jcsm.13381","title":"Handelin alleviates cachexia‐ and aging‐induced skeletal muscle atrophy by improving protein homeostasis and inhibiting inflammation","year":2023,"lang":"en","type":"article","venue":"Journal of Cachexia Sarcopenia and Muscle","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Jiangxi Provincial Department of Science and Technology; Nanchang University; Education Department of Jiangxi Province; National Natural Science Foundation of China","keywords":"Myogenesis; MyoD; Myogenin; Endocrinology; Internal medicine; Muscle atrophy; Skeletal muscle; Cachexia; MyoD Protein; Medicine; Atrophy; Myogenic regulatory factors; Sarcopenia; Myosin; Tumor necrosis factor alpha; Downregulation and upregulation; Myocyte; Insulin-like growth factor; Biology; Growth factor; Receptor; Cell biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004833815,0.0001948008,0.0002619253,0.0001091822,0.0002080932,0.00007542101,0.00009472739,0.0001640274,0.000007968109],"category_scores_gemma":[0.000197237,0.0001764096,0.00007244528,0.0001142681,0.0001119656,0.00004600515,0.0001713082,0.0001990097,0.000001875805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009578953,"about_ca_system_score_gemma":0.00007486837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005886143,"about_ca_topic_score_gemma":0.00003827096,"domain_scores_codex":[0.9988166,0.0001015512,0.0003845196,0.0002816241,0.0001402372,0.0002754614],"domain_scores_gemma":[0.9993021,0.0000378074,0.0002847566,0.0001172937,0.0001044932,0.000153471],"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":[0.00006478788,0.00001593259,0.0002338825,0.00008782003,0.00004262021,0.000007799475,0.0002224663,0.000006702433,0.8868731,0.00001244149,0.0002928915,0.1121396],"study_design_scores_gemma":[0.01121908,0.003650354,0.1273893,0.0005123891,0.0003214386,0.0002008225,0.005033561,0.00123248,0.8219377,0.001651143,0.02515674,0.001695033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941114,0.004645412,0.0001061907,0.0008047484,0.00005283179,0.0001978564,0.00001023765,0.00001299053,0.00005829509],"genre_scores_gemma":[0.9979619,0.001312179,0.0002766654,0.0001047565,0.0002016374,0.00001052061,0.00003429871,0.00002531126,0.00007271765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271554,"threshold_uncertainty_score":0.7193775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008810832958239272,"score_gpt":0.2377937719732121,"score_spread":0.2289829390149728,"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."}}