{"id":"W3016490612","doi":"10.1016/j.jcmg.2020.02.012","title":"Comparison Between the Performance of Quantitative Flow Ratio and Perfusion Imaging for Diagnosing Myocardial Ischemia","year":2020,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Myocardial perfusion imaging; Cardiology; Perfusion; Medicine; Internal medicine; Ischemia; Perfusion scanning; Myocardial ischemia; Radiology","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":[0.01318241,0.001329016,0.001258913,0.002666249,0.0002539483,0.002065716,0.001399694,0.002727002,0.001653865],"category_scores_gemma":[0.02858044,0.00059268,0.0008943527,0.0007156971,0.0009021767,0.002049758,0.0006057122,0.001016419,0.0008565277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007000917,"about_ca_system_score_gemma":0.0004695029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097432,"about_ca_topic_score_gemma":0.001046081,"domain_scores_codex":[0.9943099,0.003067987,0.0003678199,0.0009417433,0.0009775552,0.0003350527],"domain_scores_gemma":[0.9709877,0.02257479,0.001321144,0.00107331,0.003428398,0.0006145674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07883393,0.001137241,0.64496,0.001067823,0.002945223,0.0006832666,0.0006319194,0.006033977,0.04346767,0.001290645,0.002320738,0.2166276],"study_design_scores_gemma":[0.002375829,0.01660368,0.7799875,0.0003074932,0.00396064,0.004581793,0.0007976543,0.1367598,0.04708808,0.00273599,0.004490771,0.0003107152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632178,0.01484169,0.01493369,0.0006972111,0.0003878218,0.0001047891,0.000646663,0.0003254594,0.004844931],"genre_scores_gemma":[0.9929996,0.0009351725,0.004587376,0.0001894711,0.000230253,0.00003852952,0.000395634,0.00005475648,0.0005692294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01318241,"threshold_uncertainty_score":0.0697161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03304310402712977,"score_gpt":0.3077960129620926,"score_spread":0.2747529089349628,"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."}}