{"id":"W2531417571","doi":"10.1113/ep086019","title":"Acylcarnitines as markers of exercise‐associated fuel partitioning, xenometabolism, and potential signals to muscle afferent neurons","year":2016,"lang":"en","type":"article","venue":"Experimental Physiology","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Agricultural Research Service; National Institutes of Health; U.S. Department of Agriculture","keywords":"Internal medicine; Endocrinology; Fatty acid; Oxidative phosphorylation; Beta oxidation; Insulin resistance; Mitochondrion; Insulin; Aerobic exercise; Biology; Metabolism; Medicine; Chemistry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000609268,0.0001847583,0.00048832,0.000101606,0.00005766799,0.000005622862,0.00007565702,0.00008299403,0.001107175],"category_scores_gemma":[0.00006281414,0.0001335738,0.00009909852,0.0001011353,0.000177937,0.0000783428,0.0001204655,0.00006231789,0.0000813163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001955432,"about_ca_system_score_gemma":0.00003146228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004736185,"about_ca_topic_score_gemma":9.864276e-7,"domain_scores_codex":[0.9988752,0.00007863032,0.000259387,0.0003293523,0.0001472315,0.0003101956],"domain_scores_gemma":[0.9993731,0.00004083916,0.0001066969,0.0002003077,0.00006155061,0.000217514],"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":[0.0004546199,0.0003039214,0.0001326532,0.00001668423,0.00006742825,0.000008394371,0.0004322723,0.000001079954,0.9949968,0.0002087066,0.0008594137,0.002518011],"study_design_scores_gemma":[0.00294783,0.001125087,0.5458436,0.0001620913,0.0001626929,0.00001586496,0.0006324638,0.000003092463,0.4441153,0.0004095392,0.004344197,0.0002381667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956509,0.002519947,0.00001203399,0.0004473188,0.0002784294,0.0003810645,0.00002980547,0.00004571803,0.0006347336],"genre_scores_gemma":[0.9978727,0.0002983414,0.00008033252,0.0003690065,0.0001615567,0.00006540816,0.00002772774,0.00002809533,0.001096873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5508814,"threshold_uncertainty_score":0.9998059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376175382707795,"score_gpt":0.2809659204548289,"score_spread":0.2672041666277509,"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."}}