{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005445331,0.0001867799,0.0002162053,0.0004696444,0.0001537325,0.0005057836,0.0001481725,0.0002062374,0.001835297],"category_scores_gemma":[0.002393245,0.00009130661,0.0002981423,0.0004007199,0.0001314159,0.0002587738,0.0001894491,0.0002463409,0.0002865578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320722,"about_ca_system_score_gemma":0.000153757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008524781,"about_ca_topic_score_gemma":0.001370418,"domain_scores_codex":[0.9997211,0.00005259485,0.00004154263,0.00007149195,0.00005836645,0.00005484521],"domain_scores_gemma":[0.9990633,0.0002265983,0.0004453361,0.00008711041,0.0000897479,0.0000879443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002493956,0.0000297053,0.9945282,0.00001208955,0.00006491717,0.00008489686,0.00006731919,0.00002731569,0.0003498483,0.00007782309,0.0002171139,0.004291351],"study_design_scores_gemma":[0.00001293014,0.0001055301,0.9983488,0.0000103151,0.00003934163,0.0005042499,0.00009684081,0.0001814677,0.0001312115,0.0001190184,0.0004454191,0.000004751852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960656,0.001013569,0.0002247386,0.0001099808,0.00002736123,0.00001148771,0.0008461438,0.00000719733,0.001693953],"genre_scores_gemma":[0.9990531,0.0001690485,0.00006697595,0.00005862938,0.00002186274,0.000007413629,0.0004199164,0.000002467544,0.0002005131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001835297,"threshold_uncertainty_score":0.006139636,"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."}}