{"id":"W2052228332","doi":"10.1016/j.cmet.2010.01.003","title":"A Macrophage Sterol-Responsive Network Linked to Atherogenesis","year":2010,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; University of Washington","keywords":"Sterol; Cell biology; Biology; Apolipoprotein E; Apolipoprotein B; Cholesterol; Sterol regulatory element-binding protein; Phenotype; Macrophage; Microvesicles; Foam cell; Biochemistry; Lipoprotein; In vitro; Disease; Gene; microRNA; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003642306,0.0002580435,0.0004491856,0.0000631307,0.0002392297,0.00003726167,0.0003738191,0.0002972952,0.001361148],"category_scores_gemma":[0.00006333488,0.0002220091,0.0004418457,0.0002122358,0.000111768,0.00005320711,0.000163598,0.0003236384,0.003293122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007198616,"about_ca_system_score_gemma":0.00004922276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002831785,"about_ca_topic_score_gemma":0.00001329114,"domain_scores_codex":[0.9984263,0.0002785274,0.0002440978,0.0004389805,0.0000634339,0.0005486938],"domain_scores_gemma":[0.9989166,0.00007787446,0.00007588411,0.0007253225,0.00009558914,0.0001087724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001171138,0.00009097218,0.0005737233,0.000005895479,0.0002184919,0.000005556042,0.0002407635,0.00003475609,0.9800245,0.0003353115,0.006090246,0.01226266],"study_design_scores_gemma":[0.001232127,0.00004004777,0.1358211,0.00000911392,0.0003123848,0.00001316607,0.00008685143,9.622058e-7,0.1419879,0.0000955511,0.7200528,0.000347906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766641,0.01815621,0.0003206134,0.00007984648,0.003224064,0.0003660413,0.00004931619,0.0001110265,0.001028834],"genre_scores_gemma":[0.9934638,0.0001790129,0.0005096594,0.00108848,0.0004296929,0.00009893829,0.00002657349,0.00005245524,0.004151458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8380365,"threshold_uncertainty_score":0.9995517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005996295127918031,"score_gpt":0.2050388174727007,"score_spread":0.1990425223447827,"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."}}