{"id":"W2604554793","doi":"10.1017/jns.2017.4","title":"Utilisation of supplemented<scp>l</scp>-carnitine for fuel efficiency, as an antioxidant, and for muscle recovery in Labrador retrievers","year":2017,"lang":"en","type":"article","venue":"Journal of Nutritional Science","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carnitine; TBARS; Sprint; Animal science; Levocarnitine; Thiobarbituric acid; Antioxidant; Medicine; Creatine; Lean body mass; Creatine kinase; Chemistry; Body weight; Internal medicine; Biology; Biochemistry; Physical therapy; Lipid peroxidation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036302,0.0000656318,0.000123514,0.0001090091,0.0001579906,0.00005062016,0.0002946526,0.00004466866,0.000004274823],"category_scores_gemma":[0.001526309,0.00006080033,0.00006136716,0.00007779571,0.0003092889,0.00004869386,0.00003920945,0.00003542801,9.63591e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005310454,"about_ca_system_score_gemma":0.0001986311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001612556,"about_ca_topic_score_gemma":0.00002769147,"domain_scores_codex":[0.9991543,0.00001714715,0.000267041,0.0001716705,0.000230451,0.0001593723],"domain_scores_gemma":[0.9990243,0.00005731031,0.000338264,0.0001345246,0.0003701134,0.00007545796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002841728,0.0004578268,0.01010611,0.0001321768,0.00001500994,0.000001320473,0.0001366445,0.00005532782,0.9791925,0.00122487,0.001256337,0.007137692],"study_design_scores_gemma":[0.008156986,0.003391007,0.7031308,0.0001307157,0.00004549518,0.00005804876,0.001657763,0.0004563895,0.2070314,0.01538265,0.06039659,0.00016216],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965202,0.0006053357,0.001996464,0.000243286,0.0001544592,0.0002008083,0.0001311939,6.242912e-7,0.0001475941],"genre_scores_gemma":[0.9931121,0.000696407,0.005923826,0.00007008105,0.0001211415,0.000005962309,0.00002037488,0.000004360733,0.00004578843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7721611,"threshold_uncertainty_score":0.2479365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851451902541894,"score_gpt":0.3051574687608596,"score_spread":0.2866429497354406,"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."}}