{"id":"W1810667124","doi":"10.1093/ehjci/jev188","title":"Pre-procedural assessment of aortic annulus dimensions for transcatheter aortic valve replacement: comparison of a non-contrast 3D MRA protocol with contrast-enhanced cardiac dual-source CT angiography","year":2015,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Cardiac skeleton; Medicine; Contrast (vision); Coronary angiography; Radiology; Cardiology; Aortic valve; Angiography; Internal medicine; Aortic valve replacement; Myocardial infarction; Computer science; Artificial intelligence; Stenosis","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":[0.002694118,0.0002628045,0.0003128311,0.0006744929,0.0001122701,0.0006111513,0.0004200934,0.0004328838,0.0008418502],"category_scores_gemma":[0.007755118,0.0002477678,0.0002306852,0.000230385,0.0001806732,0.0003992586,0.0003135863,0.0002602306,0.000213086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001691933,"about_ca_system_score_gemma":0.0002476455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002801391,"about_ca_topic_score_gemma":0.0006244712,"domain_scores_codex":[0.9988667,0.0005748606,0.0001301879,0.00017693,0.0002192573,0.00003222458],"domain_scores_gemma":[0.9963239,0.001667379,0.0005420533,0.0004372822,0.0007548364,0.000274557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02322369,0.003551106,0.6081838,0.0007841656,0.0005555513,0.001470731,0.001401428,0.004139936,0.1577668,0.0003087516,0.0006357981,0.1979783],"study_design_scores_gemma":[0.0005567179,0.01309857,0.9396659,0.00007853514,0.0003319489,0.004321146,0.0004175229,0.01512403,0.02477965,0.0001375665,0.001385246,0.0001031812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937918,0.0003693828,0.004840373,0.00003672897,0.00002006935,0.0001449077,0.00006988311,0.0000343104,0.0006925907],"genre_scores_gemma":[0.9914196,0.0002353881,0.007814709,0.00005014714,0.00002529712,0.0001179797,0.0001350388,0.0000149211,0.0001870524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002694118,"threshold_uncertainty_score":0.01424801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052216257308339,"score_gpt":0.3480727615295661,"score_spread":0.3275505989564828,"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."}}