{"id":"W2972426770","doi":"10.1016/j.bbrep.2019.100686","title":"Effect of different sources of dietary protein on muscle hypertrophy in functionally overloaded mice","year":2019,"lang":"en","type":"article","venue":"Biochemistry and Biophysics Reports","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bio-oriented Technology Research Advancement Institution; Japan Society for the Promotion of Science; Council for Science, Technology and Innovation; National Agriculture and Food Research Organization; Swine Innovation Porc","keywords":"Muscle hypertrophy; Muscle protein; Biology; Dietary protein; Internal medicine; Cell biology; Endocrinology; Skeletal muscle; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001174924,0.0001598557,0.0002532707,0.00002785706,0.00001590604,0.000004997553,0.0000543797,0.0001326268,0.000006950429],"category_scores_gemma":[0.000030962,0.0001296152,0.0001030411,0.00007053984,0.00006620258,0.000003738626,0.00005225417,0.00006794697,5.388512e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005216791,"about_ca_system_score_gemma":0.00002033175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001707401,"about_ca_topic_score_gemma":4.811429e-7,"domain_scores_codex":[0.9990768,0.00003941418,0.0002733741,0.0003338463,0.0001569305,0.0001196781],"domain_scores_gemma":[0.9994134,0.00001584477,0.0002074457,0.0002799202,0.00004344861,0.00003996561],"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":[0.0004493444,0.0002038143,0.006756718,0.0004979293,0.00002361054,0.000006344583,0.000006441047,0.000004665368,0.9895536,0.000004892427,0.00001921033,0.002473463],"study_design_scores_gemma":[0.0005422119,0.0007170237,0.02437907,0.0001081759,0.0000168462,0.00001193889,0.000007302786,0.000005478428,0.9739426,0.00004385406,0.00009729653,0.0001281543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988163,0.0004535555,0.000001946189,0.0000123714,0.00008250416,0.0002502463,0.00001769748,0.00000402384,0.0003613888],"genre_scores_gemma":[0.9994743,0.00004112797,0.00002719124,0.00001422755,0.0001112191,0.00001858131,0.0001321825,0.00001027458,0.0001708914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01762235,"threshold_uncertainty_score":0.5285553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003707322091661368,"score_gpt":0.2017083907480806,"score_spread":0.1980010686564193,"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."}}