{"id":"W4285736942","doi":"10.1016/j.jcct.2022.06.075","title":"464 Predictive Value Of Coronary Computed Tomography Angiography Compared To Myocardial Perfusion Imaging In Patients With Coronary Stents","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Myocardial perfusion imaging; Predictive value; Coronary angiography; Radiology; Perfusion; Perfusion scanning; Cardiology; Internal medicine; Computed tomography; Computed tomography 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00115337,0.000530846,0.001986828,0.004155807,0.0002352703,0.00004259381,0.0004683151,0.00008676322,0.00001861749],"category_scores_gemma":[0.00004254593,0.000500585,0.005130054,0.004490977,0.0002430516,0.0002324418,0.0004177558,0.0008880735,0.000001579254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001895452,"about_ca_system_score_gemma":0.0002332983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008615854,"about_ca_topic_score_gemma":5.8952e-7,"domain_scores_codex":[0.9938583,0.00075424,0.001229534,0.0006085015,0.002926312,0.0006230883],"domain_scores_gemma":[0.9964584,0.0002362326,0.0005848011,0.0008434015,0.001355789,0.0005213828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004017993,0.001316026,0.8535276,0.00007119922,0.00642812,0.0007042101,0.0004422539,0.1271038,0.0000245401,0.000005272876,0.001922939,0.004436081],"study_design_scores_gemma":[0.01643221,0.002464089,0.9731326,0.0005906987,0.002918878,0.0007286336,0.0003972025,0.00125219,0.00004065028,0.00002317022,0.001560379,0.000459288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725867,0.01546514,0.008511831,0.00009664277,0.001390276,0.001413571,0.0002065267,0.00006966628,0.0002596652],"genre_scores_gemma":[0.9946055,0.00004183967,0.004491134,0.0003384962,0.0002319029,0.00002794876,0.0001766492,0.00008543078,0.00000112114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1258516,"threshold_uncertainty_score":0.9997446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005126845503027315,"score_gpt":0.2020652224654585,"score_spread":0.1969383769624312,"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."}}