{"id":"W2082379038","doi":"10.1115/sbc2013-14749","title":"Development of a 1D Model for Assessing the Aortic Root Pressure Drop With Viscosity and Compliance","year":2013,"lang":"en","type":"article","venue":"Volume 1A: Abdominal Aortic Aneurysms; Active and Reactive Soft Matter; Atherosclerosis; BioFluid Mechanics; Education; Biotransport Phenomena; Bone, Joint and Spine Mechanics; Brain Injury; Cardiac Mechanics; Cardiovascular Devices, Fluids and Imaging; Cartilage and Disc Mechanics; Cell and Tissue Engineering; Cerebral Aneurysms; Computational Biofluid Dynamics; Device Design, Human Dynamics, and Rehabilitation; Drug Delivery and Disease Treatment; Engineered Cellular Environments","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; McGill University","funders":"","keywords":"Stenosis; Cardiology; Internal medicine; Medicine; Aortic valve; Aortic valve stenosis; Body orifice; Regurgitation (circulation); Blood flow; Pressure drop; Anatomy; Mechanics","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":[0.0004410936,0.0008136786,0.0006517032,0.000727765,0.0004025159,0.00143223,0.001488396,0.001888356,0.008018416],"category_scores_gemma":[0.001065916,0.0005414501,0.001224191,0.0005113366,0.0003179007,0.0006216381,0.0008703214,0.0008853771,0.001440522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004780844,"about_ca_system_score_gemma":0.001040545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009417131,"about_ca_topic_score_gemma":0.00631085,"domain_scores_codex":[0.9997653,0.00004509927,0.00002001428,0.00005414602,0.00009343405,0.00002195589],"domain_scores_gemma":[0.9996811,0.000138345,0.00003827163,0.00002619029,0.00009261607,0.00002346863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008009087,0.0001143434,0.002971227,0.0003660128,0.00006097514,0.000399297,0.0002016513,0.915431,0.01427362,0.006977297,0.003629334,0.05549509],"study_design_scores_gemma":[0.000009952912,0.00003330117,0.000445586,0.00002959891,0.00001721586,0.00008421489,0.00002369499,0.9919677,0.001203626,0.0009376389,0.005222657,0.00002476582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02393159,0.0008818181,0.9574918,0.0004554229,0.0002557817,0.0002531332,0.001891886,0.002054305,0.0127843],"genre_scores_gemma":[0.4957296,0.002480834,0.4789917,0.0003230935,0.0001390969,0.001416917,0.002498339,0.0005059887,0.01791437],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009417131,"threshold_uncertainty_score":0.02682424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007248210467547494,"score_gpt":0.2167359117184766,"score_spread":0.2094877012509291,"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."}}