{"id":"W1526710361","doi":"10.1371/journal.pone.0127066","title":"L-Arginine Affects Aerobic Capacity and Muscle Metabolism in MELAS (Mitochondrial Encephalomyopathy, Lactic Acidosis and Stroke-Like Episodes) Syndrome","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"United Mitochondrial Disease Foundation","keywords":"Lactic acidosis; MELAS syndrome; Internal medicine; Endocrinology; Mitochondrial myopathy; Anaerobic exercise; Mitochondrial encephalomyopathy; Phosphocreatine; Medicine; Incremental exercise; VO2 max; Biology; Cardiology; Heart rate; Mitochondrial DNA; Blood pressure; Biochemistry; Physiology; Energy metabolism","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":[0.0003072605,0.0006071476,0.0004337316,0.0003182592,0.0002233838,0.0002449905,0.000253554,0.0005247886,0.0009527753],"category_scores_gemma":[0.000664784,0.0001662725,0.000243532,0.0001833416,0.0004205179,0.0001729349,0.0002057699,0.0001998087,0.000115465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302302,"about_ca_system_score_gemma":0.0001065403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004946525,"about_ca_topic_score_gemma":0.0007165365,"domain_scores_codex":[0.9997752,0.0000711469,0.00003891689,0.00005774501,0.00003608745,0.00002080746],"domain_scores_gemma":[0.9997186,0.0000659488,0.0001194074,0.00001312991,0.00001451008,0.00006828432],"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":[0.01902702,0.001914583,0.5726381,0.0002500787,0.0005359325,0.02590375,0.0006264401,0.0005051022,0.358455,0.00008882404,0.0001868401,0.01986838],"study_design_scores_gemma":[0.0004381619,0.01252778,0.940378,0.00001609887,0.000254783,0.0278288,0.0002367295,0.0009748703,0.01684872,0.00006683302,0.0004138768,0.00001529109],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997553,0.0001101254,0.00004293468,0.00001036628,0.000001070942,0.000004459404,0.00001620257,0.000003917844,0.000055656],"genre_scores_gemma":[0.9997662,0.0000519772,0.00008715982,0.00001361949,0.000003013989,0.00000411187,0.0000256399,0.000001712597,0.00004670617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009527753,"threshold_uncertainty_score":0.003187358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324831884911082,"score_gpt":0.218789435747421,"score_spread":0.1855411168983102,"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."}}