{"id":"W2792150082","doi":"10.1093/ehjci/jex342","title":"Diagnosing coronary artery disease after a positive coronary computed tomography angiography: the Dan-NICAD open label, parallel, head to head, randomized controlled diagnostic accuracy trial of cardiovascular magnetic resonance and myocardial perfusion scintigraphy","year":2017,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Circle Cardiovascular Imaging; Health Research Fund of Central Denmark Region; National Institutes of Health; Boston Scientific Corporation; Sundhed, Region Midtjylland; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Aarhus Universitet; Hjerteforeningen","keywords":"Medicine; Coronary artery disease; Myocardial perfusion imaging; Radiology; Perfusion; Magnetic resonance imaging; Head (geology); Perfusion scanning; Cardiology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002868562,0.001223209,0.003985454,0.0004002503,0.0005412153,0.001390878,0.001259096,0.0021766,0.003595736],"category_scores_gemma":[0.004197715,0.0008258274,0.00126601,0.0003728363,0.001831711,0.001357963,0.0005735529,0.002532816,0.0006568175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007917717,"about_ca_system_score_gemma":0.001168986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206798,"about_ca_topic_score_gemma":0.002472779,"domain_scores_codex":[0.9980037,0.001354056,0.00009960077,0.0002524358,0.0001306893,0.0001595785],"domain_scores_gemma":[0.997564,0.001033423,0.0005079316,0.0002265417,0.0001761467,0.000492039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9926905,0.0024288,0.001710269,0.0001078423,0.0003446097,0.00001880678,0.00001733778,0.00005809006,0.0002096383,0.00004643461,0.0001567934,0.002210821],"study_design_scores_gemma":[0.9619235,0.03048066,0.005383146,0.00004082945,0.0007871648,0.00004097948,0.00002931334,0.0007145368,0.0001415864,0.0001399435,0.0003021143,0.00001609069],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941486,0.002509625,0.0002270159,0.000454774,0.000426072,0.0008590556,0.0002663698,0.00003159739,0.001076863],"genre_scores_gemma":[0.9928147,0.001303703,0.001019865,0.0007447437,0.0006302253,0.00162086,0.0006185042,0.000008918473,0.001238522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003985454,"threshold_uncertainty_score":0.01517057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130063871163756,"score_gpt":0.2898317201075821,"score_spread":0.2685310813959445,"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."}}