{"id":"W2915918168","doi":"10.1093/ehjci/jez022","title":"Differential association between the progression of coronary artery calcium score and coronary plaque volume progression according to statins: the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging (PARADIGM) study","year":2019,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"GE Healthcare; National Heart, Lung, and Blood Institute; National Research Foundation of Korea; National Science Foundation, United Arab Emirates; National Research Foundation; Ministry of Science and ICT, South Korea; National Institutes of Health; Ministry of Education, Science and Technology; Neurosciences Research Foundation","keywords":"Medicine; Internal medicine; Cardiology; Mace; Statin; Coronary atherosclerosis; Coronary Calcium Score; Calcification; Bayesian multivariate linear regression; Calcinosis; Coronary artery disease; Linear regression; Percutaneous coronary intervention; Myocardial infarction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001035164,0.0003004244,0.0002783482,0.000395287,0.0002414454,0.0003975159,0.0003802216,0.0004898137,0.0007415345],"category_scores_gemma":[0.001924304,0.0002735145,0.0004756056,0.0003776955,0.0002357934,0.0004010811,0.000458402,0.0006722753,0.0002069027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681152,"about_ca_system_score_gemma":0.0002696069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001229639,"about_ca_topic_score_gemma":0.001587219,"domain_scores_codex":[0.999534,0.0001908713,0.00004092451,0.0001191698,0.00006235412,0.00005272842],"domain_scores_gemma":[0.9987746,0.0001968106,0.0005229564,0.0001598431,0.000105462,0.0002403286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007001265,0.00006297101,0.997758,0.000004651974,0.00009153704,0.00004743679,0.00003661148,0.00002310688,0.0004579658,0.00001376045,0.0000300855,0.0007738266],"study_design_scores_gemma":[0.00002581559,0.0002659044,0.9989826,0.000001804648,0.0000431054,0.0002029522,0.00003645144,0.0002586154,0.00008299558,0.00002663792,0.00007047916,0.000002566836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996098,0.00007637377,0.00007542556,0.00001876381,0.000002383186,0.000007205326,0.00007034568,0.000001607971,0.000138227],"genre_scores_gemma":[0.9995849,0.00002976445,0.0000894161,0.00001758791,0.000009140607,0.000007006697,0.0001412369,0.000001241373,0.0001195915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001229639,"threshold_uncertainty_score":0.005474567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906680599942259,"score_gpt":0.2804988679045823,"score_spread":0.2614320619051597,"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."}}