{"id":"W924003790","doi":"10.1253/circj.cj-11-1427","title":"Assessment of Cardiac Computed TomographyMyocardial Perfusion Imaging","year":2012,"lang":"en","type":"review","venue":"Circulation Journal","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; Dowager Countess Eleanor Peel Trust","keywords":"Perfusion; Coronary artery disease; Myocardial perfusion imaging; Medicine; Modality (human–computer interaction); Perfusion scanning; Radiology; Cardiac imaging; Functional imaging; Cardiology; Nuclear medicine; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008957423,0.0003216402,0.001916237,0.0006279548,0.0001345663,0.00006306744,0.00009075485,0.0001632467,0.00007026709],"category_scores_gemma":[0.00009533468,0.0002727876,0.002157922,0.0004252789,0.00007071568,0.0001129107,0.00005183915,0.000812767,0.00001340328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002454718,"about_ca_system_score_gemma":0.0006998526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003292843,"about_ca_topic_score_gemma":1.64739e-8,"domain_scores_codex":[0.9976225,0.0003063882,0.0008939979,0.0002184242,0.0006499565,0.0003086905],"domain_scores_gemma":[0.9979151,0.0002508103,0.000749017,0.0003500894,0.0004175145,0.0003174574],"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":[0.000001869697,0.00007105883,0.05707585,0.002686094,0.0003522494,0.00001750423,0.00003108376,0.00001715759,0.000006502429,0.00004810074,0.0006332818,0.9390593],"study_design_scores_gemma":[0.000410509,0.00002301851,0.1607109,0.01029355,0.007880138,0.001802916,0.00002015855,0.0001522927,5.694598e-7,0.0000128909,0.8183965,0.0002965749],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007591343,0.9910699,0.002761891,0.00002678856,0.002947615,0.0004446406,0.00003255772,0.0000387884,0.002601982],"genre_scores_gemma":[0.01442904,0.9809492,0.001374563,0.0000310578,0.002882999,0.00000868055,0.000251224,0.000062566,0.00001073107],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9387627,"threshold_uncertainty_score":0.9999724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705839321804121,"score_gpt":0.3553062922269891,"score_spread":0.3182478990089478,"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."}}