{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005077063,0.0008104997,0.0004553434,0.0005058554,0.0003771283,0.0004018678,0.0004111228,0.0008360059,0.000942496],"category_scores_gemma":[0.0005266633,0.0002524386,0.0004043205,0.0004806797,0.0004614572,0.0002789031,0.0004977916,0.000633675,0.0002197788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003439537,"about_ca_system_score_gemma":0.0006226918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195652,"about_ca_topic_score_gemma":0.003375276,"domain_scores_codex":[0.9996309,0.00007526147,0.00002612138,0.000123436,0.00009624472,0.00004800536],"domain_scores_gemma":[0.9997613,0.0000395232,0.00006339281,0.00003275114,0.00006611881,0.0000368507],"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":[0.0002389404,0.00002741803,0.0004342062,0.00005207943,0.00001780975,0.00002198026,0.00002357538,0.00004686811,0.9960815,0.00004001012,0.00002647107,0.002989205],"study_design_scores_gemma":[0.0000227562,0.001022253,0.01261221,0.00001122208,0.00005157355,0.000198597,0.00004147555,0.001536368,0.9832897,0.0001227355,0.001072229,0.00001891493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8905292,0.005088736,0.09945552,0.0003199661,0.0001453335,0.0005189521,0.001689719,0.0004978572,0.001754737],"genre_scores_gemma":[0.8916932,0.004122665,0.09854177,0.0005071472,0.00005563817,0.0009406338,0.001421917,0.00009298395,0.002624119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001195652,"threshold_uncertainty_score":0.003152966,"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."}}