{"id":"W640647043","doi":"10.1096/fasebj.26.1_supplement.1013.20","title":"Dietary Cod Protein Improves Skeletal Muscle Regeneration Partly Through Its High Levels of Arginine, Lysine, Glycine and Taurine","year":2012,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Taurine; Skeletal muscle; Casein; Arginine; Endocrinology; Internal medicine; Lysine; Glycine; Myocyte; Myogenin; Amino acid; Inflammation; Chemistry; Biochemistry; Biology; Medicine; Myogenesis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001347042,0.0004129073,0.0003685299,0.0003397984,0.0001504352,0.0002653565,0.0001813493,0.0002835674,0.0009075544],"category_scores_gemma":[0.0001104961,0.0001187975,0.0002444108,0.0001991514,0.0002030758,0.0002019254,0.0002088759,0.0004651197,0.0001336716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868695,"about_ca_system_score_gemma":0.0002502965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009434494,"about_ca_topic_score_gemma":0.001765023,"domain_scores_codex":[0.9999044,0.00001379981,0.000009532571,0.00002196345,0.00002616723,0.00002405262],"domain_scores_gemma":[0.9998417,0.000009100236,0.00006965296,0.000008462653,0.00002428357,0.00004684067],"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":[0.001909471,0.0001645217,0.0006871544,0.0001597711,0.00002471322,0.00003659961,0.00001351956,0.00002972217,0.9940831,0.00003180636,0.00002618162,0.002833363],"study_design_scores_gemma":[0.0001437706,0.00905118,0.05202232,0.00008685972,0.0002256012,0.0003857151,0.0001585245,0.0005803792,0.932662,0.0001074288,0.004556894,0.0000193879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968443,0.001536431,0.0009406803,0.00007673736,0.00002088582,0.00001523879,0.0001319443,0.0000287797,0.0004049728],"genre_scores_gemma":[0.9927245,0.001750117,0.002907209,0.00007379031,0.00001100389,0.00003281465,0.0003687931,0.00002076466,0.002110947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009434494,"threshold_uncertainty_score":0.003036022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199031230920363,"score_gpt":0.2485644368832172,"score_spread":0.2286613137911809,"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."}}