{"id":"W2776736223","doi":"10.1007/s00421-017-3792-9","title":"The development of skeletal muscle hypertrophy through resistance training: the role of muscle damage and muscle protein synthesis","year":2017,"lang":"en","type":"review","venue":"European Journal of Applied Physiology","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":253,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Muscle hypertrophy; Skeletal muscle; Myocyte; Internal medicine; Endocrinology; Muscle damage; Muscle tissue; Medicine; Biology","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":[0.001132554,0.000305734,0.0009545686,0.00004424055,0.0003031073,0.00002320576,0.0009137661,0.0001130554,0.000005322752],"category_scores_gemma":[0.0001225541,0.0001759596,0.0003342205,0.00006303452,0.0005310561,0.000007371647,0.0002458144,0.0003076811,0.00000225525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008125072,"about_ca_system_score_gemma":0.0001994677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.418279e-7,"about_ca_topic_score_gemma":0.000002609182,"domain_scores_codex":[0.9976613,0.0006052675,0.0009985488,0.0002985932,0.0001823338,0.0002539639],"domain_scores_gemma":[0.9970953,0.0001135681,0.001961336,0.0006514406,0.0001213686,0.00005701054],"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":[0.0001167377,0.00005493255,2.85202e-8,0.0007147549,0.0001734508,0.000002097411,0.0003652452,4.415525e-7,0.1649184,0.0002471475,0.00008227523,0.8333245],"study_design_scores_gemma":[0.0002891428,0.00008851266,0.0006884578,0.000850269,0.0001743727,0.000005152816,0.0002997387,2.023857e-7,0.006432359,0.0002510079,0.990741,0.0001798234],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06490121,0.9295725,0.00004552434,0.00002908164,0.0001277483,0.0004960107,0.00003839125,0.000003350043,0.004786147],"genre_scores_gemma":[0.1988476,0.7978879,0.002478331,0.00001815781,0.0005863264,0.00003386059,0.00002325836,0.00007164676,0.00005291128],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9906587,"threshold_uncertainty_score":0.7175425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03679249286894332,"score_gpt":0.268245489308948,"score_spread":0.2314529964400047,"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."}}