{"id":"W2112969284","doi":"10.3389/fphys.2015.00245","title":"Nutritional interventions to augment resistance training-induced skeletal muscle hypertrophy","year":2015,"lang":"en","type":"review","venue":"Frontiers in Physiology","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":235,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Skeletal muscle; Muscle hypertrophy; Ingestion; Medicine; Muscle mass; Resistance training; Muscle contraction; Strength training; Endocrinology; Internal medicine; Biology; Bioinformatics; Physiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002528809,0.0003801413,0.001208142,0.0002889049,0.00005835701,0.00001446932,0.0004173093,0.0004727495,0.00002031031],"category_scores_gemma":[0.0001010529,0.0003742097,0.0006304646,0.0002750237,0.00008136769,0.000005480755,0.0001627815,0.0002609406,0.0000257646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009582319,"about_ca_system_score_gemma":0.0002580609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004533333,"about_ca_topic_score_gemma":0.00002639055,"domain_scores_codex":[0.9977031,0.0003630074,0.0006015828,0.0007553382,0.0001514212,0.0004254893],"domain_scores_gemma":[0.9990482,0.00001414646,0.0001961429,0.0004918062,0.00008671358,0.0001629588],"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":[0.0001244732,0.0005593087,0.000001092763,0.009156931,0.0002154022,0.00001762846,0.00006436815,0.000003784778,0.004494141,0.00019307,0.175094,0.8100758],"study_design_scores_gemma":[0.0005947416,0.0002143426,0.0001009648,0.002234436,0.0001151347,0.000004894002,0.00003834708,5.728816e-7,0.00001969132,0.0007650222,0.9955292,0.0003825983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009040437,0.9949657,0.0007046523,0.00005026766,0.001977826,0.0007566951,0.0003143631,0.00001569765,0.0003107159],"genre_scores_gemma":[0.0005294117,0.9882156,0.006189859,0.0001251297,0.001159763,0.000646471,0.00257368,0.00006151202,0.0004986308],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8204352,"threshold_uncertainty_score":0.999871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05423142964932307,"score_gpt":0.3220312979762908,"score_spread":0.2677998683269677,"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."}}