{"id":"W4416994490","doi":"10.1148/ryct.250444","title":"Top 2025 Images in Cardiothoracic Imaging","year":2025,"lang":"en","type":"article","venue":"Radiology Cardiothoracic Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"NIHR Sheffield Biomedical Research Centre; NIHR Sheffield Clinical Research Facility","keywords":"","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":[0.001534589,0.000564108,0.001601576,0.001376787,0.000214584,0.0001197716,0.0002843359,0.000180935,0.00004379851],"category_scores_gemma":[0.001468336,0.0005913618,0.000705681,0.001243312,0.0005156846,0.0002890381,0.000233361,0.001053073,0.00009783859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007054661,"about_ca_system_score_gemma":0.0006022466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002054978,"about_ca_topic_score_gemma":0.000001964475,"domain_scores_codex":[0.996089,0.0004847956,0.0007989909,0.001093481,0.0003465683,0.001187201],"domain_scores_gemma":[0.9974669,0.0007410862,0.0001278883,0.001166646,0.0002677769,0.000229662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001448744,0.00006087942,0.8896149,0.0002123311,0.0002006272,0.002053365,0.0001649371,0.0002588586,0.003339759,0.0002242472,0.02027414,0.08345111],"study_design_scores_gemma":[0.004324712,0.00003391309,0.9254213,0.001296035,0.00129741,0.004728641,0.001174434,0.002786312,0.007626119,0.0009129189,0.0492425,0.001155733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3202975,0.1868242,0.07336548,0.02893395,0.009757717,0.002531687,0.0001195294,0.001736229,0.3764337],"genre_scores_gemma":[0.9892445,0.0005360084,0.00337735,0.003972734,0.0006909427,0.000100611,0.00007195022,0.00008152006,0.001924448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.668947,"threshold_uncertainty_score":0.9996538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007094401720766159,"score_gpt":0.3163718533387417,"score_spread":0.3092774516179756,"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."}}