{"id":"W3088221866","doi":"10.1152/ajpcell.00304.2020","title":"Docosahexaenoic and eicosapentaenoic fatty acids differentially regulate glucose and fatty acid metabolism in L6 rat skeletal muscle cells","year":2020,"lang":"en","type":"article","venue":"American Journal of Physiology-Cell Physiology","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Docosahexaenoic acid; Internal medicine; Endocrinology; Eicosapentaenoic acid; Skeletal muscle; Glycogen synthase; Carnitine; AMP-activated protein kinase; Polyunsaturated fatty acid; Glycogen; AMPK; GSK-3; Beta oxidation; Biology; Carbohydrate metabolism; Biochemistry; Protein kinase A; Chemistry; Metabolism; Fatty acid; Kinase; 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":[0.0003107764,0.0004722108,0.0006196417,0.0004157874,0.000327843,0.0003735338,0.0003547065,0.0004341841,0.001408545],"category_scores_gemma":[0.0001235831,0.0002958006,0.001073484,0.0003954933,0.0002848189,0.0003875862,0.0003271882,0.000827594,0.0007324413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269566,"about_ca_system_score_gemma":0.0002477527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001936035,"about_ca_topic_score_gemma":0.004078057,"domain_scores_codex":[0.9996903,0.00004642292,0.0000492891,0.00007810708,0.00007762611,0.00005830329],"domain_scores_gemma":[0.9998745,0.0000177275,0.00002911627,0.00002084673,0.00002741462,0.00003039062],"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":[0.000932842,0.00007852662,0.0008050445,0.00007796607,0.00001688759,0.0001238941,0.0000470446,0.00004805636,0.9960542,0.00006904657,0.00005485232,0.001691728],"study_design_scores_gemma":[0.0001729937,0.001964882,0.02392697,0.0000405728,0.0001437317,0.0004780391,0.0003462863,0.0009580259,0.9658964,0.0001169986,0.005921192,0.00003403846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804844,0.01138032,0.003541986,0.0003508397,0.0001321668,0.00004947423,0.001210508,0.00007947855,0.002770801],"genre_scores_gemma":[0.9684719,0.008804888,0.009194762,0.0004742263,0.00005275955,0.0001908314,0.002879438,0.0000492978,0.009881921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001936035,"threshold_uncertainty_score":0.004712045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009255724761254592,"score_gpt":0.2382962965108895,"score_spread":0.2290405717496349,"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."}}