{"id":"W3080108494","doi":"10.1016/j.jcmg.2020.07.008","title":"Sex Differences in Coronary Computed Tomography Angiography–Derived Fractional Flow Reserve","year":2020,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Siemens; Bayer","keywords":"Medicine; Fractional flow reserve; Coronary artery disease; Stenosis; Revascularization; Internal medicine; Cardiology; Computed tomography angiography; Demographics; Radiology; Incidence (geometry); Angiography; Coronary angiography; Myocardial infarction","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":[0.0003874263,0.0003231425,0.0009322152,0.0004302777,0.0001180598,0.0000923099,0.0001679842,0.00008148039,0.00007214954],"category_scores_gemma":[0.0002166966,0.0003253296,0.002625481,0.001155211,0.0001510276,0.0002106586,0.0001407905,0.0005039637,0.00005304988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005463997,"about_ca_system_score_gemma":0.00009225938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002913707,"about_ca_topic_score_gemma":0.000003197163,"domain_scores_codex":[0.9974337,0.0002152758,0.0003816958,0.0006772736,0.0008093813,0.0004826256],"domain_scores_gemma":[0.9986409,0.0002324082,0.00006229746,0.0005595012,0.0001733162,0.0003315909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008830344,0.00008482415,0.983624,0.00009562217,0.001634308,0.0009085237,0.0003696064,0.0009763285,0.0002469058,0.000005076596,0.004310061,0.007656422],"study_design_scores_gemma":[0.002720211,0.00003946486,0.9787143,0.0001631355,0.000661821,0.0002587951,0.0004567314,0.01242638,0.0003128949,0.00004294619,0.003842986,0.0003602874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.880075,0.07546683,0.02822952,0.006240651,0.001088024,0.001295236,0.0001200863,0.0006915114,0.006793191],"genre_scores_gemma":[0.9938738,0.000130338,0.003606185,0.001529869,0.0006056733,0.00003787921,0.0001552082,0.00005094174,0.00001012474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1137988,"threshold_uncertainty_score":0.9999199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963236822706876,"score_gpt":0.2347294766963016,"score_spread":0.2150971084692328,"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."}}