{"id":"W2560184119","doi":"10.1038/srep38310","title":"Perilipin 5 fine-tunes lipid oxidation to metabolic demand and protects against lipotoxicity in skeletal muscle","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Canadian Institutes of Health Research; Société Francophone du Diabète; Institut Universitaire de France; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche; Pfizer","keywords":"Lipotoxicity; Perilipin; Skeletal muscle; Internal medicine; Endocrinology; Lipid droplet; Insulin resistance; Beta oxidation; Lipid oxidation; Chemistry; Lipolysis; Biology; Insulin; Adipose tissue; Biochemistry; Medicine; Metabolism; Antioxidant","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022857,0.0001633882,0.0001907098,0.0001453979,0.0001394799,0.0000974788,0.0001095063,0.0001114454,0.00001671422],"category_scores_gemma":[0.000540935,0.0001121344,0.00005889591,0.0002385719,0.0001417123,0.00002068136,0.0001544007,0.00003871555,0.00001116007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007541248,"about_ca_system_score_gemma":0.00009354859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001021806,"about_ca_topic_score_gemma":0.0001890605,"domain_scores_codex":[0.9982387,0.00007245487,0.0003515862,0.0008066859,0.0002259081,0.0003046258],"domain_scores_gemma":[0.9990553,0.000009910383,0.0001261201,0.0005747679,0.00008353764,0.0001504088],"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":[0.000007094702,0.00004178139,0.00269461,0.00001049545,0.000007001644,0.000008576349,0.00008778199,0.000002201735,0.9343767,0.000007029043,0.0005688703,0.06218785],"study_design_scores_gemma":[0.0001277358,0.00001922932,0.03132203,0.00002520707,0.000004638649,0.00001334814,0.00001345721,0.000001811321,0.7328658,0.00004034262,0.2354189,0.0001475076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972935,0.0003848932,0.0002513522,0.000171202,0.001276335,0.0004526925,0.000004366206,0.000017337,0.000148329],"genre_scores_gemma":[0.9970452,0.0000433385,0.0005909125,0.00005919232,0.0003320641,0.00006626345,0.00002251018,0.00001459492,0.001825974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.23485,"threshold_uncertainty_score":0.4572709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007228165875358534,"score_gpt":0.2216771715575449,"score_spread":0.2144490056821863,"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."}}