{"id":"W2082064915","doi":"10.1161/01.atv.0000058860.62870.6e","title":"Activation of Peroxisome Proliferator–Activated Receptor Gamma and Retinoid X Receptor Results in Net Depletion of Cellular Cholesteryl Esters in Macrophages Exposed to Oxidized Lipoproteins","year":2003,"lang":"en","type":"article","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Ciglitazone; Retinoid X receptor; CD36; Scavenger receptor; Chemistry; Peroxisome proliferator-activated receptor; Cholesteryl ester; Foam cell; Receptor; Cholesterol; Nuclear receptor; Endocrinology; Biochemistry; Internal medicine; Lipoprotein; Transcription factor; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007508915,0.0003820929,0.000708417,0.0003329427,0.00006411644,0.00002615644,0.0001681098,0.0004978792,0.00001646789],"category_scores_gemma":[0.0003600389,0.0003708819,0.0001093432,0.0004534467,0.0002224097,0.00003614834,0.0001185991,0.0001947488,0.000001965528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005296095,"about_ca_system_score_gemma":0.00006234549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001028114,"about_ca_topic_score_gemma":0.00006035643,"domain_scores_codex":[0.9969774,0.000688193,0.0008663728,0.0008666557,0.0001553979,0.0004459516],"domain_scores_gemma":[0.9988682,0.0000440881,0.0003342011,0.000476765,0.0001251459,0.0001516209],"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":[0.0001906278,0.0002447664,0.07892063,0.00006970339,0.00008558782,3.658073e-8,0.0004984601,0.000008520644,0.9196841,0.0000285994,0.00002505421,0.0002438788],"study_design_scores_gemma":[0.002855961,0.0009840776,0.1464182,0.0001806718,0.00001245149,3.505456e-7,0.0002462408,0.000005210041,0.848333,0.000009640265,0.0006401323,0.0003140944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983892,0.0001155364,0.0001770065,0.000186922,0.0001105406,0.0009312659,0.00006149839,0.00001469565,0.00001334456],"genre_scores_gemma":[0.9966678,0.001502782,0.001285565,0.000119467,0.00004101331,0.0001491003,0.0001832237,0.00004812998,0.000002910048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07135112,"threshold_uncertainty_score":0.9998743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867717611529981,"score_gpt":0.2486585658388144,"score_spread":0.2299813897235146,"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."}}