{"id":"W2060253214","doi":"10.1021/ac9029746","title":"Differential Metabolomics for Quantitative Assessment of Oxidative Stress with Strenuous Exercise and Nutritional Intervention: Thiol-Specific Regulation of Cellular Metabolism with <i>N</i>-Acetyl-<scp>l</scp>-Cysteine Pretreatment","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Japan Society for the Promotion of Science","keywords":"Chemistry; Oxidative stress; Glutathione; Carnitine; Thiol; Metabolomics; Antioxidant; Cysteine; Metabolism; Metabolite; Reactive oxygen species; Biochemistry; Acetylcarnitine; Pharmacology; Medicine; Enzyme; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.000118782,0.0002423198,0.0004531904,0.00004171945,0.00005449895,0.00002222226,0.0001216236,0.0001785439,0.00003036468],"category_scores_gemma":[0.00004067169,0.0001915513,0.0001447673,0.0001140608,0.0003052346,0.0000168616,0.00005387552,0.0001362368,1.166407e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007926881,"about_ca_system_score_gemma":0.00005005066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006187439,"about_ca_topic_score_gemma":0.000006487309,"domain_scores_codex":[0.9987059,0.00003416025,0.0003776117,0.0004297165,0.000261873,0.0001907048],"domain_scores_gemma":[0.9988142,0.00007332516,0.0003030917,0.0003081165,0.0003963021,0.0001050185],"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":[0.000480664,0.0007468756,0.0009904264,0.0004410059,0.0003060211,0.000001070156,0.00003505957,0.00002270407,0.993961,0.002618018,0.000072285,0.0003248798],"study_design_scores_gemma":[0.003515625,0.0006460937,0.005031256,0.0001329844,0.0005008462,0.000005647468,0.0002921633,0.0006908674,0.98809,0.0002204026,0.0007478017,0.0001263575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713533,0.001197413,0.02622078,0.0000234229,0.00003866307,0.0003891738,0.0005943624,0.000007006855,0.0001758593],"genre_scores_gemma":[0.9803448,0.0002999117,0.01737705,0.000003171871,0.0001340387,0.00008498493,0.001578863,0.00002318829,0.0001540147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008991462,"threshold_uncertainty_score":0.7811238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00890754789573891,"score_gpt":0.2532877696087033,"score_spread":0.2443802217129644,"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."}}