{"id":"W4412038766","doi":"10.1161/circimaging.125.018059","title":"Novel CAC Dispersion and Density Score to Predict Myocardial Infarction and Cardiovascular Mortality","year":2025,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Western University; McMaster University; University of Alberta Hospital; University of Alberta","funders":"","keywords":"Medicine; Mace; Internal medicine; Myocardial infarction; Cardiology; Hazard ratio; Diabetes mellitus; Retrospective cohort study; Confidence interval; Percutaneous coronary intervention","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":[0.001170883,0.000294201,0.0008126436,0.000358644,0.0003008746,0.0001363534,0.00005541828,0.0001052787,0.000002514163],"category_scores_gemma":[0.0006937432,0.0003185029,0.001065103,0.0005031869,0.000154739,0.0002288473,0.0001828432,0.0002547929,0.000005249329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001769383,"about_ca_system_score_gemma":0.0001196309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007017088,"about_ca_topic_score_gemma":0.000003217134,"domain_scores_codex":[0.997672,0.0001157064,0.0003318037,0.0008190271,0.0007169723,0.0003444639],"domain_scores_gemma":[0.9982929,0.00007760598,0.0000381564,0.000973579,0.0003401953,0.0002775704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002932658,0.00002983449,0.9476794,0.0001957228,0.003430039,0.00004022371,0.000163054,0.004466432,0.001750894,0.00009989759,0.0003572608,0.0417579],"study_design_scores_gemma":[0.002019747,0.0000102923,0.9809918,0.0002569728,0.00411084,0.0003997291,0.0001384063,0.003788128,0.0002554315,0.00005663613,0.007692034,0.0002799525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7929904,0.01726074,0.1860616,0.0005365367,0.0008403953,0.0009580432,0.00001616098,0.0001958318,0.001140208],"genre_scores_gemma":[0.9977466,0.0003023089,0.0007542854,0.0006801097,0.0003654694,0.00003661122,0.0000629752,0.00003414171,0.00001752354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2047561,"threshold_uncertainty_score":0.9999267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463425356302554,"score_gpt":0.2524512610218847,"score_spread":0.2378170074588591,"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."}}