{"id":"W2952878369","doi":"10.1016/j.ijcha.2019.100381","title":"Quantitative low-dose rest and stress CT myocardial perfusion imaging with a whole-heart coverage scanner improves functional assessment of coronary artery disease","year":2019,"lang":"en","type":"article","venue":"IJC Heart & Vasculature","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Lawson Health Research Institute","funders":"Kaohsiung Veterans General Hospital; Cedars-Sinai Medical Center; Ministry of Science and Technology","keywords":"Medicine; Coronary artery disease; Myocardial perfusion imaging; Cardiology; Perfusion; Internal medicine; Rest (music); Perfusion scanning; Stress testing (software); Radiology; Nuclear medicine","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":[0.001280014,0.000342831,0.0002500918,0.000484738,0.00008053619,0.000301067,0.0001761978,0.0003866846,0.0008898943],"category_scores_gemma":[0.004364761,0.0001676072,0.0001541548,0.00009499612,0.0002173726,0.0002574869,0.0001674831,0.0001790244,0.0002325642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112874,"about_ca_system_score_gemma":0.00008719298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002735534,"about_ca_topic_score_gemma":0.0003692943,"domain_scores_codex":[0.9996648,0.0001569782,0.00002366804,0.00006426931,0.00006444805,0.00002582246],"domain_scores_gemma":[0.9983404,0.0009539425,0.0002807203,0.0001051405,0.00018801,0.0001317859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002439363,0.0002557136,0.8738235,0.00007551759,0.0001507487,0.0002411029,0.0001072157,0.001120252,0.08129977,0.00003697824,0.0001725467,0.04027752],"study_design_scores_gemma":[0.00005509843,0.001422952,0.9806129,0.0000100249,0.00008916634,0.002217411,0.00003553258,0.009313027,0.005991597,0.00003674766,0.000204679,0.00001086624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977144,0.0004875846,0.001493416,0.00002587438,0.000002155529,0.000007714507,0.00003436492,0.00003145828,0.0002030939],"genre_scores_gemma":[0.9988413,0.00005258395,0.0009662584,0.00000990123,0.000005787697,0.000003301973,0.00004845878,0.000002651545,0.00006970136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001280014,"threshold_uncertainty_score":0.006769419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006648080592314537,"score_gpt":0.2599068000925548,"score_spread":0.2532587195002403,"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."}}