{"id":"W2800690910","doi":"10.1016/j.jcct.2018.04.008","title":"CT-based total vessel plaque analyses improves prediction of hemodynamic significance lesions as assessed by fractional flow reserve in patients with stable angina pectoris","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Fractional flow reserve; Medicine; Cardiology; Hemodynamics; Angina; Internal medicine; Radiology; 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":[0.0004849485,0.0005660888,0.0005925111,0.0004275322,0.0002756292,0.0006895172,0.0002440063,0.000631186,0.00126075],"category_scores_gemma":[0.001449099,0.00021668,0.0003596302,0.0002292294,0.0001833529,0.0003545727,0.0002490572,0.0005862564,0.0002327474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001454594,"about_ca_system_score_gemma":0.0001666971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042679,"about_ca_topic_score_gemma":0.002941018,"domain_scores_codex":[0.9998502,0.00004557818,0.00001773854,0.00003348005,0.00003149311,0.00002149219],"domain_scores_gemma":[0.999545,0.000182251,0.00008464464,0.00002683205,0.00005339158,0.0001078647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006060338,0.0007830217,0.9635632,0.00005569107,0.0003925794,0.0002932555,0.0001100612,0.0007860642,0.004748257,0.00006805748,0.0004407881,0.02269883],"study_design_scores_gemma":[0.0001365383,0.001011772,0.9928884,0.00002155791,0.0003239135,0.0003190043,0.0001097128,0.004263334,0.0005305156,0.0001400515,0.0002406563,0.00001467541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981546,0.0005986202,0.0002041913,0.0001275693,0.00002865488,0.0000086314,0.0000716,0.00001196946,0.000794165],"genre_scores_gemma":[0.9990632,0.0001853322,0.0002544333,0.00004717088,0.00005239038,0.000004165125,0.00009379664,0.000002360617,0.0002971918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00126075,"threshold_uncertainty_score":0.004217625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009316787142443675,"score_gpt":0.2455808932298778,"score_spread":0.2362641060874341,"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."}}