{"id":"W2762205991","doi":"10.1093/eurheartj/ehx501.p864","title":"P864Diagnostic performance of computed tomography derived fractional flow reserve on functional ischemia of coronary stenosis in each culprit vessel","year":2017,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hjerteforeningen; Heart and Stroke Foundation of Canada","keywords":"Fractional flow reserve; Medicine; Culprit; Cardiology; Stenosis; Ischemia; Internal medicine; Computed tomography; Myocardial ischemia; Radiology; Coronary angiography; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001756321,0.0004581797,0.0002697835,0.0007889877,0.0001446338,0.0006579806,0.0003089478,0.0004697268,0.002365852],"category_scores_gemma":[0.004925557,0.0001648166,0.0002420537,0.0003217318,0.0003391768,0.0003216162,0.0003595134,0.0002586788,0.0005932859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801645,"about_ca_system_score_gemma":0.0001300435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002877473,"about_ca_topic_score_gemma":0.0003619468,"domain_scores_codex":[0.9993364,0.0002807801,0.00009528697,0.0001106705,0.0001189522,0.00005773772],"domain_scores_gemma":[0.9968092,0.001725792,0.0007439447,0.0001661363,0.0003189399,0.0002359844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006301585,0.00007128738,0.9948452,0.00001420215,0.00005496089,0.00009252146,0.00003332701,0.0001729755,0.0007216271,0.00002305513,0.00005131005,0.003289314],"study_design_scores_gemma":[0.00002459025,0.0004577593,0.9952284,0.000008319904,0.00005226081,0.0007746674,0.00003331124,0.002104709,0.001104654,0.00006753982,0.0001383371,0.000005369558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998425,0.0002394953,0.0003473163,0.00001715322,0.000004983794,0.000008712365,0.0001186973,0.000005111986,0.0008336524],"genre_scores_gemma":[0.9994019,0.00003392179,0.0002562502,0.000007652685,0.000006763803,0.000006212985,0.000160621,0.000001492879,0.0001250798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002365852,"threshold_uncertainty_score":0.00928843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855565209384765,"score_gpt":0.27227222675538,"score_spread":0.2337165746615324,"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."}}