{"id":"W2516812301","doi":"10.1161/jaha.116.003811","title":"Diagnostic Performance of Treadmill Exercise Cardiac Magnetic Resonance: The Prospective, Multicenter Exercise CMR's Accuracy for Cardiovascular Stress Testing (EXACT) Trial","year":2016,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institutes of Health","keywords":"Medicine; Magnetic resonance imaging; Cardiology; Stress testing (software); Radiology; Treadmill; Nuclear medicine; Angiography; Internal medicine; Radionuclide angiography; Perfusion; Heart failure; Ejection fraction","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":[0.008024437,0.001236782,0.001085094,0.000464757,0.0003177089,0.001021038,0.0007300931,0.001157298,0.001047259],"category_scores_gemma":[0.01102079,0.0004107802,0.0008027878,0.0002911529,0.0008307323,0.001213755,0.0009025696,0.0007031491,0.0003078511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002924683,"about_ca_system_score_gemma":0.0002576419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002644286,"about_ca_topic_score_gemma":0.0005623274,"domain_scores_codex":[0.9959483,0.002693488,0.000263339,0.0006538047,0.0002939544,0.0001472018],"domain_scores_gemma":[0.9923694,0.003255175,0.00235218,0.0007682746,0.0005976611,0.0006572729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.2410915,0.002030869,0.7105467,0.0003812853,0.004414472,0.0001581298,0.0002657846,0.002138851,0.003556425,0.0002958976,0.001101842,0.03401833],"study_design_scores_gemma":[0.03438438,0.05018303,0.8932722,0.0001649061,0.005531691,0.0009633391,0.0002440399,0.01035086,0.00182148,0.0007362792,0.002223437,0.0001244113],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962152,0.001628926,0.0005855225,0.0001778823,0.00004881889,0.0002146946,0.0002815343,0.00001951172,0.0008279286],"genre_scores_gemma":[0.9979388,0.0001783899,0.000891279,0.0001317365,0.0000965673,0.0001290287,0.0004528771,0.000008472961,0.0001727302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008024437,"threshold_uncertainty_score":0.04243779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198626121835847,"score_gpt":0.265221073747584,"score_spread":0.2532348125292255,"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."}}