{"id":"W2791781901","doi":"","title":"Abstract 14705: Quality of Life Improvement in Coronary Artery Disease by Adenosine Magnetic Resonance Driven Management in Comparison to Conventional Approach","year":2017,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Coronary artery disease; Clinical endpoint; Cardiology; Internal medicine; Angina; Fractional flow reserve; Magnetic resonance imaging; Randomized controlled trial; Quality of life (healthcare); Conventional PCI; Cardiac magnetic resonance imaging; Canadian Cardiovascular Society; Myocardial infarction; Radiology; Coronary angiography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001092921,0.0005786367,0.001656661,0.0002781442,0.0001907284,0.0006072017,0.0004498664,0.0007797921,0.008060634],"category_scores_gemma":[0.001020119,0.0002038493,0.001118709,0.0003030852,0.0004786626,0.0004183231,0.0003705171,0.001218835,0.000582436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307046,"about_ca_system_score_gemma":0.0004595391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001166121,"about_ca_topic_score_gemma":0.0001792579,"domain_scores_codex":[0.9992554,0.0004027114,0.00007360053,0.0001034894,0.00008743615,0.00007737627],"domain_scores_gemma":[0.9992033,0.0002756587,0.0001874807,0.00004905183,0.00005889403,0.0002257116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.9477071,0.01591983,0.002604825,0.0009351615,0.0009578495,0.00002630902,0.00002361843,0.0002202199,0.004642389,0.0001333702,0.0005050297,0.0263243],"study_design_scores_gemma":[0.4615953,0.5129052,0.02020899,0.0001390831,0.001215847,0.00005078582,0.00002797007,0.0005912173,0.002236339,0.0001707455,0.0008385277,0.00001989596],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935563,0.002614556,0.0003728517,0.0002010368,0.0003341383,0.001304498,0.0005119571,0.00002297379,0.00108173],"genre_scores_gemma":[0.9906471,0.001455254,0.001426456,0.0003615058,0.0005827024,0.003452427,0.0007985296,0.000006996127,0.00126891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008060634,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03627877181002582,"score_gpt":0.3178336640848594,"score_spread":0.2815548922748335,"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."}}