{"id":"W4410325572","doi":"10.1161/circimaging.124.018188","title":"Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart Failure","year":2025,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute","keywords":"Medicine; Heart failure; Cardiology; Internal medicine; Myocardial perfusion imaging; Positron emission tomography; Hazard ratio; Nuclear medicine; Radiology; Perfusion; Confidence interval","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":[0.001163785,0.0005286922,0.0004311818,0.0003678137,0.0001330838,0.0006290628,0.000447019,0.0003123185,0.001405636],"category_scores_gemma":[0.003082111,0.000217495,0.0005677899,0.0002821572,0.0002997755,0.0004114955,0.0005309112,0.0008383432,0.0001967658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004353778,"about_ca_system_score_gemma":0.0004763992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002798941,"about_ca_topic_score_gemma":0.003039333,"domain_scores_codex":[0.9996947,0.0001018372,0.00002547258,0.00008455,0.00003929152,0.00005410091],"domain_scores_gemma":[0.9987205,0.000599838,0.0003256229,0.0001064715,0.0001115514,0.0001359593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007617749,0.000248421,0.9692821,0.0000373991,0.0003292529,0.00005385583,0.00002224137,0.01376633,0.0009929171,0.00008717054,0.0005262798,0.01389236],"study_design_scores_gemma":[0.0001438906,0.0007781306,0.7876452,0.00005479918,0.0004344377,0.0004262824,0.0001126921,0.2061663,0.002110647,0.00136832,0.0007210508,0.00003838888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962327,0.0002707273,0.002452081,0.0001869226,0.00000905175,0.000008565947,0.0005290267,0.00002754819,0.0002833054],"genre_scores_gemma":[0.9983996,0.00007807292,0.0007106469,0.00002597178,0.000008243002,0.000007877314,0.0006467947,0.000003405184,0.0001195156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002798941,"threshold_uncertainty_score":0.006154716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006833873193889689,"score_gpt":0.2264605171181723,"score_spread":0.2196266439242826,"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."}}