{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880578,0.0002220064,0.0001710627,0.0001719325,0.0001291439,0.0002402637,0.0001538342,0.0002551499,0.001017032],"category_scores_gemma":[0.0001014176,0.00009389021,0.0002009816,0.0001032883,0.0002600892,0.0002633312,0.0002405158,0.0003401095,0.0002039976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870023,"about_ca_system_score_gemma":0.0001368436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002114714,"about_ca_topic_score_gemma":0.000398133,"domain_scores_codex":[0.999931,0.00001290649,0.000008252845,0.00002250624,0.00001195839,0.0000134888],"domain_scores_gemma":[0.9999286,0.000009038378,0.00002634489,0.000008781601,0.000005770451,0.00002149227],"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":[0.0004504841,0.00002309485,0.0007603729,0.00004557169,0.000007637534,0.00003906916,0.00001207236,0.00005652493,0.9966694,0.00009716279,0.00003452025,0.001804101],"study_design_scores_gemma":[0.0000862859,0.001152249,0.05220229,0.00002992658,0.00006692216,0.0004073481,0.00009844306,0.001209021,0.940713,0.0001735378,0.003851914,0.000009090685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995395,0.001872004,0.001726889,0.0001577984,0.00003088015,0.00001114457,0.0001663049,0.00003852962,0.0006013453],"genre_scores_gemma":[0.9958889,0.0008373733,0.001352988,0.0001124751,0.0000131947,0.00001620989,0.0002645425,0.00001042572,0.001503969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001017032,"threshold_uncertainty_score":0.003402293,"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."}}