{"id":"W4229022552","doi":"10.1148/ryct.210260","title":"Hepatosteatosis and Atherosclerotic Plaque at Coronary CT Angiography","year":2022,"lang":"en","type":"article","venue":"Radiology Cardiothoracic Imaging","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Heart, Lung, and Blood Institute; Chief Scientist Office, Scottish Government Health and Social Care Directorate; National Heart Foundation of New Zealand; Sir Jules Thorn Charitable Trust; Edinburgh and Lothians Health Foundation; NHS Health Scotland; British Heart Foundation; Wellcome Trust","keywords":"Medicine; Internal medicine; Interquartile range; Cardiology; Nonalcoholic fatty liver disease; Diabetes mellitus; Coronary artery disease; Body mass index; Myocardial infarction; Risk factor; Fatty liver; Disease; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002196702,0.0002201956,0.0004841293,0.0002121544,0.0004651655,0.00001341562,0.00007679137,0.00002117529,0.0002454626],"category_scores_gemma":[0.00001077971,0.0002085414,0.0004291924,0.0002117168,0.0001826879,0.00006319024,0.000235282,0.000186977,0.00001620232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003275855,"about_ca_system_score_gemma":0.00005396584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005247422,"about_ca_topic_score_gemma":7.919996e-7,"domain_scores_codex":[0.9984736,0.0002614006,0.0001964498,0.0004944094,0.0002030423,0.0003710901],"domain_scores_gemma":[0.9992285,0.0001237612,0.0000650084,0.0003542011,0.00002404812,0.0002044348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001555804,0.0001166177,0.9855288,0.00003637287,0.0007345254,0.001766059,0.000195621,0.00002509637,0.0004802284,0.00005014224,0.00227806,0.008632871],"study_design_scores_gemma":[0.001802628,0.0002304046,0.9778283,0.00003067187,0.001098951,0.01042377,0.0003268259,0.0002981004,0.0003001678,0.00004407819,0.007367375,0.0002487873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698524,0.02685587,0.00002484662,0.001272504,0.0002587023,0.000513762,0.00008794373,0.000115461,0.001018535],"genre_scores_gemma":[0.9972316,0.0005460712,0.0002080339,0.00136487,0.00008622601,0.0002925972,0.0001207643,0.00004159703,0.0001082132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02737925,"threshold_uncertainty_score":0.850407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008254075340501673,"score_gpt":0.2395572053538004,"score_spread":0.2313031300132987,"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."}}