{"id":"W4390743204","doi":"10.1161/circimaging.123.015769","title":"Higher Noncalcified Plaque Volume Is Associated With Increased Plaque Vulnerability and Vascular Inflammation","year":2024,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Research Foundation","funders":"National Heart, Lung, and Blood Institute","keywords":"Hounsfield scale; Medicine; Computed tomography angiography; Internal medicine; Optical coherence tomography; Cardiology; Nuclear medicine; Computed tomography; Radiology; Angiography","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":[0.001288793,0.0003861574,0.0008070122,0.0002818624,0.0002478586,0.0002831419,0.0000805893,0.0001843713,0.0001068168],"category_scores_gemma":[0.0001074687,0.0003587463,0.001426113,0.000660671,0.000162625,0.0005574902,0.00006058262,0.0004470043,0.00003909735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002473445,"about_ca_system_score_gemma":0.0002004169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000125515,"about_ca_topic_score_gemma":0.000002175879,"domain_scores_codex":[0.9968408,0.0003688231,0.0004182016,0.0009361838,0.00103271,0.0004032404],"domain_scores_gemma":[0.9983108,0.00009217932,0.0000635133,0.0009635175,0.0002481463,0.0003218528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004086562,0.0003710822,0.7693391,0.003409481,0.06928764,0.003469497,0.002022672,0.009419334,0.02122998,0.00138683,0.001874194,0.1177815],"study_design_scores_gemma":[0.003284824,0.00002542321,0.9278899,0.0007317847,0.006817043,0.0003552194,0.00005148611,0.03570234,0.001391341,0.0001762403,0.02296232,0.0006121134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448678,0.02424311,0.02590064,0.001264447,0.0003220681,0.001265977,0.00004436861,0.0007216498,0.001369935],"genre_scores_gemma":[0.9982931,0.0001425614,0.0001584583,0.0002339349,0.0005361232,0.00007610986,0.000386791,0.0000894634,0.00008347945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1585507,"threshold_uncertainty_score":0.9998865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059958296141749,"score_gpt":0.2303383879763087,"score_spread":0.2197388050148912,"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."}}