{"id":"W2094288633","doi":"10.1152/ajpendo.00475.2001","title":"Exercise training increases lipid metabolism gene expression in human skeletal muscle","year":2002,"lang":"en","type":"article","venue":"American Journal of Physiology-Endocrinology and Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":288,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"CD36; Internal medicine; Endocrinology; Skeletal muscle; Peroxisome; Lipid metabolism; VO2 max; Peroxisome proliferator-activated receptor; Gene expression; Endurance training; Beta oxidation; Biology; Chemistry; Receptor; Metabolism; Medicine; Gene; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002972031,0.0004210355,0.002034829,0.0007212639,0.0001833329,0.00001256636,0.000272694,0.0001433925,0.0003666417],"category_scores_gemma":[0.0001718837,0.0003368043,0.000312298,0.0004229256,0.001046973,0.0003179451,0.0001297924,0.0009831375,0.00001715215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001921559,"about_ca_system_score_gemma":0.00006576169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001146753,"about_ca_topic_score_gemma":0.000004387433,"domain_scores_codex":[0.9970802,0.0003992139,0.0009433785,0.0004804346,0.0002596228,0.0008371724],"domain_scores_gemma":[0.9981298,0.0001436152,0.0007320589,0.0003944913,0.0001742126,0.0004258183],"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":[0.0001629586,0.0004825454,0.000317897,0.00002317244,0.0001703992,0.0002283508,0.002053066,0.000006408992,0.8014587,0.0005739068,0.0003063707,0.1942162],"study_design_scores_gemma":[0.009864904,0.001021087,0.791113,0.0003257366,0.001503007,0.003650063,0.003157182,0.00002424149,0.06697836,0.001188466,0.1204189,0.0007550592],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620848,0.03637863,0.00002477228,0.0004648577,0.0004753875,0.0002187847,0.000009184727,0.00003960737,0.0003040083],"genre_scores_gemma":[0.9792125,0.01472772,0.003758489,0.0007249402,0.001289946,0.00002100316,0.000007775496,0.00004708791,0.0002105723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7907951,"threshold_uncertainty_score":0.9999084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164362363044965,"score_gpt":0.2740493152791223,"score_spread":0.2524056916486727,"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."}}