{"id":"W2769708863","doi":"10.1016/j.mpdhp.2017.11.009","title":"Pathogenesis of atherosclerosis","year":2017,"lang":"en","type":"article","venue":"Diagnostic histopathology","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Pathogenesis; Fatty streak; Disease; Medicine; Inflammation; Myocardial infarction; Foam cell; Coronary atherosclerosis; Endothelial dysfunction; Pathology; Bioinformatics; Cardiology; Immunology; Internal medicine; Coronary heart disease; Biology; Lipoprotein; Lesion; Cholesterol","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":[],"consensus_categories":[],"category_scores_codex":[0.0002905659,0.0001834754,0.0004860612,0.00005825224,0.0004945603,0.00001504638,0.00058812,0.0002261175,0.0006439081],"category_scores_gemma":[0.001825902,0.0001699361,0.0003591809,0.00003067663,0.0008635456,0.00007515448,0.0001789258,0.000110478,0.0004573708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002017701,"about_ca_system_score_gemma":0.00004291919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000985357,"about_ca_topic_score_gemma":0.00001245951,"domain_scores_codex":[0.9987825,0.0001921371,0.000304385,0.0003555008,0.00004859271,0.0003168794],"domain_scores_gemma":[0.997987,0.0003162629,0.0003144617,0.001259908,0.00008934198,0.00003298867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003190912,0.000317995,0.385754,0.00003037536,0.0001003985,0.00002414705,0.0003420287,0.000004526694,0.5824891,0.002104999,0.002256894,0.02654367],"study_design_scores_gemma":[0.0008716336,0.0001124303,0.9686764,0.00004322402,0.0001784099,0.00003508888,0.00006699734,3.22164e-7,0.01866684,0.0001452848,0.0110198,0.0001835069],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878169,0.006759424,0.0004304072,0.0001047785,0.001161925,0.0001842232,0.0001297189,0.00005356056,0.003359035],"genre_scores_gemma":[0.9984783,0.0006227519,0.00009268508,0.00008638173,0.00003713679,0.00006683021,0.00003016145,0.00002627874,0.0005594745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5829225,"threshold_uncertainty_score":0.7050343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676621716066133,"score_gpt":0.2335280197707583,"score_spread":0.216761802610097,"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."}}