{"id":"W2135985666","doi":"10.2337/diabetes.52.7.1770","title":"Peroxisome Proliferator–Activated Receptor-α Agonist Treatment in a Transgenic Model of Type 2 Diabetes Reverses the Lipotoxic State and Improves Glucose Homeostasis","year":2003,"lang":"en","type":"article","venue":"Diabetes","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Novo Nordisk","keywords":"Internal medicine; Endocrinology; Insulin; Adipose tissue; Type 2 diabetes; Glucose uptake; Glucose homeostasis; Triglyceride; Biology; Insulin resistance; Glucose clamp technique; Peroxisome proliferator-activated receptor; Diabetes mellitus; Receptor; Cholesterol; Medicine; Pancreatic hormone","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":[0.0002143091,0.001175973,0.0005980566,0.0009157045,0.0002965155,0.0004334364,0.0003983313,0.0006304147,0.001386933],"category_scores_gemma":[0.00009416528,0.0003443436,0.0004484703,0.0005089922,0.0004708363,0.0003288773,0.0001967829,0.001823928,0.0005534738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004248413,"about_ca_system_score_gemma":0.0004653241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277668,"about_ca_topic_score_gemma":0.002671847,"domain_scores_codex":[0.9997714,0.00003621566,0.00002596727,0.00006136968,0.00006038827,0.00004461776],"domain_scores_gemma":[0.9998475,0.000009259531,0.00005608271,0.0000154003,0.00001259889,0.0000589942],"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":[0.0007611196,0.0002082534,0.0001490597,0.00006153765,0.00001775597,0.00009888966,0.00001517237,0.000069899,0.9963897,0.0001265681,0.0001228685,0.001979195],"study_design_scores_gemma":[0.0007847976,0.004668002,0.007811784,0.00004388694,0.0001471311,0.0009394858,0.00008491833,0.00122904,0.9763739,0.0002172997,0.007670862,0.00002885236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981091,0.003787989,0.007933611,0.0005894966,0.0003154668,0.0001754843,0.001825163,0.001059109,0.003222647],"genre_scores_gemma":[0.964215,0.005516117,0.01095769,0.0002951578,0.00010608,0.0004146236,0.003342011,0.0002510429,0.01490224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001386933,"threshold_uncertainty_score":0.004639804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138113806135369,"score_gpt":0.2267948441535836,"score_spread":0.2154137060922299,"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."}}