{"id":"W4416230577","doi":"10.1016/j.liver.2025.100301","title":"Coronary artery calcium score on chest computed tomography in liver transplant candidates: A retrospective study of diagnostic performance and risk stratification","year":2025,"lang":"en","type":"article","venue":"Journal of Liver Transplantation","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Toronto General Hospital","funders":"","keywords":"Mace; Coronary artery disease; Perioperative; Retrospective cohort study; Coronary Calcium Score; Logistic regression; Chest pain; Clinical endpoint; Coronary artery calcium","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":[0.001794137,0.000343316,0.0004522861,0.001229534,0.0004021243,0.00064277,0.0004237478,0.0005858034,0.0008149414],"category_scores_gemma":[0.004654747,0.0005472366,0.0004680634,0.001670035,0.0005032559,0.000839202,0.0005713549,0.0005096963,0.0002906523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000469207,"about_ca_system_score_gemma":0.0003692858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003474587,"about_ca_topic_score_gemma":0.003149425,"domain_scores_codex":[0.9984275,0.0004684395,0.0002366472,0.0003728307,0.000316381,0.0001782916],"domain_scores_gemma":[0.9961497,0.0008440407,0.001658368,0.0003720967,0.0004234992,0.0005524406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005324837,0.00001355978,0.99954,0.000003010182,0.00001757267,0.00004324511,0.00002546313,0.000007639718,0.00003755738,0.00000423479,0.00001719501,0.0002372767],"study_design_scores_gemma":[0.000008796322,0.0001347708,0.999088,0.000004961464,0.00002832072,0.0003978344,0.0001156512,0.0001162302,0.00003161291,0.000008969633,0.00006070891,0.000004020097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999458,0.0002318496,0.00004939792,0.00001313897,0.000002690177,0.000009051751,0.0001019061,0.000001803783,0.000132179],"genre_scores_gemma":[0.9997227,0.00007395947,0.00003563688,0.00001324798,0.000007291056,0.000006652506,0.0001157583,0.000001138571,0.00002377504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003474587,"threshold_uncertainty_score":0.009488404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291478347085777,"score_gpt":0.2530265625222833,"score_spread":0.2401117790514255,"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."}}