{"id":"W3022697549","doi":"10.14740/cr1028","title":"Diagnostic Accuracy of Cardiac Magnetic Resonance Versus Fractional Flow Reserve: A Systematic Review and Meta-Analysis","year":2020,"lang":"en","type":"review","venue":"Cardiology Research","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Fractional flow reserve; Cutoff; Coronary artery disease; Cardiology; Internal medicine; CAD; Diagnostic accuracy; Magnetic resonance imaging; Meta-analysis; Cardiac magnetic resonance; Radiology; Nuclear medicine; Coronary angiography; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01290244,0.002474573,0.01705789,0.007873905,0.0007173055,0.003042285,0.002209279,0.002240066,0.003419956],"category_scores_gemma":[0.03656349,0.001411736,0.03050449,0.00831428,0.0008350397,0.001646353,0.00134277,0.001608382,0.0003037337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045935,"about_ca_system_score_gemma":0.00297541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005703127,"about_ca_topic_score_gemma":0.01247902,"domain_scores_codex":[0.9909882,0.004045977,0.002456878,0.001161119,0.001028082,0.0003197003],"domain_scores_gemma":[0.9671671,0.02494113,0.004820649,0.0008029195,0.001953937,0.0003142635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001686349,0.00002694332,0.01092235,0.3749118,0.5997327,0.0001889751,0.0000951271,0.0004643268,0.0002550895,0.0001090452,0.000720428,0.01088699],"study_design_scores_gemma":[0.0003263623,0.0001167588,0.006090869,0.02151018,0.9703968,0.0001273213,0.00003798878,0.0002056454,0.00009751613,0.0001364847,0.0009318104,0.00002222272],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006598794,0.9917586,0.0004490358,0.0002104277,0.00009196511,0.0001657214,0.0005310129,0.00002384967,0.000170464],"genre_scores_gemma":[0.2707264,0.7225148,0.002914156,0.0008960009,0.0003920428,0.001015303,0.001201946,0.00004267437,0.0002966692],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01705789,"threshold_uncertainty_score":0.06823546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2269876333800279,"score_gpt":0.4704716084794911,"score_spread":0.2434839750994632,"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."}}