{"id":"W3198689752","doi":"10.1172/jci153285","title":"CREBH normalizes dyslipidemia and halts atherosclerosis in diabetes by decreasing circulating remnant lipoproteins","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; American Diabetes Association; American Heart Association; Novo Nordisk; University of Washington; National Institutes of Health","keywords":"Hypertriglyceridemia; Dyslipidemia; Apolipoprotein B; Pathogenesis; Diabetes mellitus; Cholesterol; Lipoprotein; Apolipoprotein E","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002373951,0.0001218767,0.0006527538,0.00008561878,0.00005270205,0.00004278788,0.00005246707,0.0001817732,0.00002278315],"category_scores_gemma":[0.01147779,0.00009949524,0.0001574057,0.0002509588,0.0001592276,0.0003219572,0.00003293641,0.0004799353,0.000001767406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000252244,"about_ca_system_score_gemma":0.0003284508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005103774,"about_ca_topic_score_gemma":0.00002241146,"domain_scores_codex":[0.9973574,0.000344872,0.001572855,0.0001930029,0.0003345014,0.0001973309],"domain_scores_gemma":[0.9978197,0.0006444335,0.0007474169,0.0001467114,0.0002640772,0.0003776878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004438718,0.0001178542,0.9321976,0.0000821321,0.00004014353,0.000009929238,0.0002207043,0.000009660802,0.04993777,0.00009734759,0.0004353533,0.01680712],"study_design_scores_gemma":[0.003734959,0.0002299051,0.9698758,0.001280429,0.0001760315,0.0000371879,0.0002558824,0.001156376,0.01819997,0.003572914,0.001334736,0.0001458835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939973,0.002238601,0.0001839048,0.002971569,0.0003615501,0.0001080817,0.000002032046,0.000009462547,0.0001275348],"genre_scores_gemma":[0.9844446,0.0007352317,0.01188423,0.002270591,0.0005977376,0.000002079243,0.000009862604,0.00001738165,0.00003826516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03767812,"threshold_uncertainty_score":0.9968489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05760651148398602,"score_gpt":0.3491855575332442,"score_spread":0.2915790460492582,"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."}}