{"id":"W2064612269","doi":"10.1096/fj.14-255901","title":"Acylcarnitines: potential implications for skeletal muscle insulin resistance","year":2014,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":245,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; U.S. Department of Agriculture; National Institutes of Health; American Diabetes Association","keywords":"Insulin resistance; Endocrinology; Internal medicine; Oxidative stress; Skeletal muscle; Insulin; Proinflammatory cytokine; Chemistry; Carnitine; Glucose uptake; Beta oxidation; Inflammation; Biology; Metabolism; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005050207,0.0007799623,0.0006351126,0.0005614718,0.000261911,0.0005941658,0.0005163244,0.001257883,0.00218675],"category_scores_gemma":[0.0004119684,0.00020839,0.0005206172,0.0005257627,0.000668994,0.0006881397,0.0006102584,0.0007307327,0.0004041346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003646775,"about_ca_system_score_gemma":0.0002784535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003672062,"about_ca_topic_score_gemma":0.0004133819,"domain_scores_codex":[0.9997857,0.00005991689,0.00003330371,0.00004538613,0.00003138413,0.00004438824],"domain_scores_gemma":[0.999553,0.00006382999,0.0002272174,0.0000258145,0.00005211968,0.00007801559],"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":[0.002908432,0.0002576248,0.02239336,0.002042562,0.0003195581,0.01024976,0.0003708152,0.0008194118,0.9155636,0.005845858,0.00103336,0.0381956],"study_design_scores_gemma":[0.0005918432,0.008158704,0.2650703,0.001317239,0.001137565,0.03909658,0.002403129,0.006193351,0.5692577,0.02936036,0.07721349,0.000199698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7762479,0.2006728,0.008476018,0.006882824,0.0004796007,0.00006969769,0.0004578956,0.0002190829,0.006494179],"genre_scores_gemma":[0.9346131,0.05753786,0.002085122,0.001099607,0.0003269339,0.00003873299,0.0002563458,0.00001720629,0.004025026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00218675,"threshold_uncertainty_score":0.007315397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866764548843109,"score_gpt":0.2826200098469601,"score_spread":0.263952364358529,"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."}}