{"id":"W4384945184","doi":"10.1016/j.jcct.2023.05.182","title":"Association Of Thoracic Aortic Calcium With Incident Cardiovascular Disease And All-Cause Mortality Across The Spectrum Of Coronary Artery Calcium Burden","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Coronary artery calcium; Cardiology; Internal medicine; Thoracic aorta; Coronary artery disease; Calcification; Calcium; Coronary Calcium Score; Risk stratification; Ascending aorta; Aorta; Radiology","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":[0.0008367546,0.0003195525,0.000549765,0.0009428867,0.0004922499,0.00106612,0.0005958947,0.0008302195,0.002597658],"category_scores_gemma":[0.00387278,0.0003876967,0.0008820716,0.0009121664,0.0004442366,0.0007305628,0.0009501061,0.001309535,0.000200036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108511,"about_ca_system_score_gemma":0.0003001066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003935531,"about_ca_topic_score_gemma":0.004190826,"domain_scores_codex":[0.9991795,0.000182379,0.000100146,0.0002706404,0.0001081986,0.0001590844],"domain_scores_gemma":[0.9968546,0.0007723091,0.001251097,0.0003123349,0.0003203436,0.0004892605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001278902,0.00001576252,0.9988639,0.000003877994,0.00009861294,0.00004302944,0.00002084822,0.00002751907,0.0002432556,0.00002696797,0.00003670789,0.0004916968],"study_design_scores_gemma":[0.00000477059,0.00003847665,0.9991704,0.00000298795,0.00006556944,0.0002516906,0.00008559627,0.0002406654,0.00003136694,0.00006187079,0.00004333644,0.000003167961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997946,0.0005032561,0.0001947108,0.0001565569,0.00001198309,0.000004572666,0.0003071841,0.000009311618,0.0008664558],"genre_scores_gemma":[0.9992982,0.0001399135,0.0001065949,0.00003093402,0.00002910409,0.000003131286,0.0002259967,0.000002912679,0.0001632063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003935531,"threshold_uncertainty_score":0.008690059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409503363200023,"score_gpt":0.2988270997839571,"score_spread":0.2747320661519569,"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."}}