{"id":"W4385520471","doi":"10.3389/fcvm.2023.1204071","title":"Quantitative imaging biomarkers of coronary plaque morphology: insights from EVAPORATE","year":2023,"lang":"en","type":"article","venue":"Frontiers in Cardiovascular Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Daiichi Sankyo Europe; National Heart, Lung, and Blood Institute; St. Jude Medical; HLS Therapeutics; Idorsia Pharmaceuticals; Assistance publique-Hôpitaux de Paris; Pfizer; Moderna; Medicines Company; Regado Biosciences; Belvoir Media Group; Amarin Pharma; MyoKardia; Novo Nordisk; AstraZeneca; Amarin Corporation; Ironwood Pharmaceuticals, Incorporated; National Institutes of Health; Regeneron Pharmaceuticals; Duke Clinical Research Institute; Eisai; Brigham and Women's Hospital; Boston VA Research Institute; Boston Scientific Corporation; Eli Lilly and Company; Cleveland Clinic; Bristol-Myers Squibb; CSL Behring; Alnylam Pharmaceuticals; Amgen; Sanofi; American Heart Association","keywords":"Medicine; Placebo; Fibrous cap; Vulnerable plaque; Coronary artery disease; Internal medicine; Cardiology; Radiology; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001167966,0.000479091,0.0007078915,0.0006701812,0.0001075284,0.0005070993,0.0002003349,0.0002939681,0.001189774],"category_scores_gemma":[0.001685502,0.0002753424,0.000377762,0.0002682904,0.0003257664,0.0002810227,0.0003572762,0.0004120056,0.0001323271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064611,"about_ca_system_score_gemma":0.0001299488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003311186,"about_ca_topic_score_gemma":0.0006102665,"domain_scores_codex":[0.9995535,0.000238202,0.00001821056,0.00005732851,0.0001058637,0.00002695428],"domain_scores_gemma":[0.9992874,0.0002883094,0.0002430605,0.00008023505,0.00005978991,0.00004128347],"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":[0.04095325,0.002111661,0.2371168,0.0009999524,0.001443157,0.0005502832,0.0004771478,0.01210521,0.4276924,0.00140977,0.00149871,0.2736416],"study_design_scores_gemma":[0.001560195,0.0152047,0.8121232,0.0000930335,0.001125287,0.002060168,0.0002719241,0.05690617,0.102784,0.003537426,0.004197398,0.0001364063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881657,0.001980763,0.007567491,0.0002440468,0.00001142402,0.0000735249,0.0005515105,0.00005053515,0.001354906],"genre_scores_gemma":[0.992411,0.0005042236,0.005998883,0.0001151317,0.00002995108,0.00006772593,0.0002870043,0.00001119244,0.0005749725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001189774,"threshold_uncertainty_score":0.006176889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783698337440771,"score_gpt":0.2704683510344955,"score_spread":0.2526313676600878,"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."}}