{"id":"W2935763297","doi":"10.3389/fnut.2019.00040","title":"Integrated Myofibrillar Protein Synthesis in Recovery From Unaccustomed and Accustomed Resistance Exercise With and Without Multi-ingredient Supplementation in Overweight Older Men","year":2019,"lang":"en","type":"article","venue":"Frontiers in Nutrition","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; University of Waterloo","funders":"Canadian Institutes of Health Research; Medical Research Council; National Institute for Health and Care Research; Biotechnology and Biological Sciences Research Council; McMaster University","keywords":"Ingredient; Resistance training; Overweight; Myofibril; Physical activity; Medicine; Physical therapy; Food science; Obesity; Internal medicine; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002131055,0.0001811471,0.0002978944,0.0002970229,0.00002397253,0.00003216021,0.00006459741,0.0001537042,0.000009043603],"category_scores_gemma":[0.00003407562,0.0001766769,0.00002099728,0.0002410449,0.00006685618,0.00004359032,0.00003269048,0.000100994,5.914758e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007562982,"about_ca_system_score_gemma":0.00002545775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000299201,"about_ca_topic_score_gemma":0.0008968288,"domain_scores_codex":[0.9987406,0.0001312436,0.0002832029,0.0004890446,0.0001323614,0.0002236187],"domain_scores_gemma":[0.9996269,0.00001128119,0.00009697265,0.0001769893,0.000038553,0.00004934458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01084013,0.0007540337,0.7477514,0.001126199,0.00005756036,0.00001730832,0.0005758878,0.00001661512,0.224285,0.00001470431,0.003222287,0.01133889],"study_design_scores_gemma":[0.03139388,0.0003863981,0.4704698,0.007407998,0.00008002883,0.000005355955,0.00601292,0.001560417,0.4747631,0.0007163102,0.006055875,0.001147927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926679,0.004827758,0.0007088051,0.00008041855,0.00009565299,0.001439193,0.0001176545,0.000008549161,0.00005406233],"genre_scores_gemma":[0.9709421,0.007189529,0.02067515,0.0000227147,0.0000369542,0.0004142968,0.0005918906,0.00002401759,0.0001033493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2772816,"threshold_uncertainty_score":0.7204673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004587759784933759,"score_gpt":0.2110683707567187,"score_spread":0.2064806109717849,"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."}}