{"id":"W2791574475","doi":"10.1016/j.jacc.2017.11.054","title":"Effect of Plaque Burden and Morphology on Myocardial Blood Flow and Fractional Flow Reserve","year":2018,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":166,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Fractional flow reserve; Perfusion; Cardiology; Coronary artery disease; Internal medicine; Stenosis; Myocardial perfusion imaging; Lumen (anatomy); Blood flow; Coronary arteries; Coronary circulation; Vulnerable plaque; Coronary flow reserve; Artery; Radiology; Myocardial infarction; Coronary angiography","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":[],"consensus_categories":[],"category_scores_codex":[0.000834625,0.000134629,0.001149836,0.0001682642,0.00005268125,0.000002557361,0.0001016752,0.00007287807,0.000006135539],"category_scores_gemma":[0.001683547,0.00008643136,0.0003236406,0.0001723472,0.001338366,0.00002671878,0.00008708881,0.0003182643,0.000001088272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000264195,"about_ca_system_score_gemma":0.000143083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002888844,"about_ca_topic_score_gemma":0.000001056272,"domain_scores_codex":[0.99852,0.0005579803,0.0003629661,0.0001391784,0.0002555861,0.0001643517],"domain_scores_gemma":[0.9971449,0.001730493,0.00048326,0.000250793,0.0002891741,0.0001013995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02825071,0.0001176765,0.8207628,0.0002474817,0.006402994,0.001706886,0.000304854,0.003279419,0.04697247,0.0001917976,0.07931978,0.0124432],"study_design_scores_gemma":[0.02053823,0.05935299,0.787174,0.0006626772,0.006401908,0.0628262,0.0006315187,0.001155228,0.03837232,0.0005340328,0.0218884,0.0004624864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945371,0.0004856102,0.0001167685,0.002842467,0.0006842279,0.000148986,0.0001261636,0.000003764174,0.001054883],"genre_scores_gemma":[0.9966784,0.0002562971,0.0007558824,0.0002276127,0.002027687,0.000002160596,0.000001189364,0.00001371151,0.0000370276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06111932,"threshold_uncertainty_score":0.4931266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00667749049113084,"score_gpt":0.2706696229668848,"score_spread":0.263992132475754,"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."}}