{"id":"W2068957520","doi":"10.1016/j.jcct.2011.11.002","title":"Quantitative myocardial CT perfusion: a pictorial review and the current state of technology development","year":2011,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lawson Health Research Institute","funders":"David Geffen School of Medicine, University of California, Los Angeles","keywords":"Medicine; Coronary artery disease; Radiology; Perfusion; Perfusion scanning; Myocardial perfusion imaging; Revascularization; Angiography; Cardiology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001405138,0.0004968111,0.004025173,0.0008484474,0.0000808168,0.00002177638,0.0005085584,0.00006557803,0.000002000642],"category_scores_gemma":[0.00005520678,0.0003176238,0.003647673,0.00124211,0.0002634917,0.0001174466,0.000145879,0.001151177,0.000001905041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004864082,"about_ca_system_score_gemma":0.0001759393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.005857e-7,"about_ca_topic_score_gemma":1.482634e-7,"domain_scores_codex":[0.9972163,0.0003488076,0.001454865,0.000225311,0.0004769635,0.0002777597],"domain_scores_gemma":[0.9982432,0.0001398452,0.0006681032,0.0004679329,0.0003846914,0.00009620273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001385586,0.00001518136,7.301757e-7,0.01397057,0.008533063,0.0000312618,0.0000858674,0.0003229048,4.071259e-8,0.00009130218,0.0001083613,0.9768268],"study_design_scores_gemma":[0.0008862105,0.00005061349,0.0000056514,0.02594197,0.007040058,0.0005341287,0.000004905455,0.00001843928,0.000002427538,0.0002332693,0.964973,0.0003092991],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001262463,0.9639847,0.03333713,0.000005924135,0.001863457,0.0006669837,0.000009603681,0.00004665437,0.00007289939],"genre_scores_gemma":[0.00006334334,0.9943856,0.005206722,0.000004855661,0.0002537436,0.00002751235,0.000004642031,0.0000531008,4.766864e-7],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9765176,"threshold_uncertainty_score":0.9999276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760621797158512,"score_gpt":0.2551865436333429,"score_spread":0.2375803256617578,"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."}}