{"id":"W1909133109","doi":"10.1159/000329287","title":"Dietary Protein to Support Muscle Hypertrophy","year":2011,"lang":"en","type":"article","venue":"Nestlé Nutrition Institute Workshop series","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Anabolism; Skeletal muscle; Ingestion; Muscle hypertrophy; Adaptive response; Internal medicine; Protein biosynthesis; Leucine; Amino acid; Endocrinology; Muscle protein; Protein catabolism; Chemistry; Biology; Biochemistry; Medicine","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":[0.0001037903,0.0002392154,0.0002093046,0.000115351,0.0001954343,0.00004021806,0.0002371955,0.0002062638,0.0001402094],"category_scores_gemma":[0.00005785762,0.0002488358,0.0001208333,0.0002623795,0.0001602315,0.00006002811,0.0001123952,0.0001137658,0.00009440016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001270865,"about_ca_system_score_gemma":0.00005087472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002938908,"about_ca_topic_score_gemma":0.0001091448,"domain_scores_codex":[0.9986932,0.00004722009,0.0002853538,0.0004666797,0.0001708825,0.0003366334],"domain_scores_gemma":[0.999143,0.000002508496,0.00006361184,0.0004637698,0.0001333139,0.0001938133],"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":[0.001319873,0.0009363657,0.0002105521,0.0001921547,0.00004415071,0.00005607527,0.0003021976,0.000007468464,0.9455196,0.002033515,0.02071823,0.02865983],"study_design_scores_gemma":[0.001073388,0.000723397,0.004843873,0.0001034352,0.00002618397,0.00004589036,0.0001980906,9.955362e-7,0.2329129,0.0007707001,0.758858,0.0004431984],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909633,0.0006174969,0.001389219,0.000752142,0.0008763192,0.0009397253,0.00006021275,0.0001008345,0.004300782],"genre_scores_gemma":[0.9784749,0.0005354455,0.0164724,0.000864055,0.00107437,0.0006581107,0.0005829549,0.00004223359,0.001295493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7381397,"threshold_uncertainty_score":0.9999964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03850848439930937,"score_gpt":0.2501985657488227,"score_spread":0.2116900813495133,"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."}}