{"id":"W3004900631","doi":"10.5267/j.esm.2019.11.003","title":"A three-dimensional fluid-structure interaction (FSI) model for estimating the heart energy consumption of blood flow through the aortic valve","year":2020,"lang":"en","type":"article","venue":"Engineering Solid Mechanics","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fluid–structure interaction; Blood flow; Cardiology; Flow (mathematics); Aortic valve; Mechanics; Energy consumption; Fluid dynamics; Internal medicine; Materials science; Consumption (sociology); Heart valve; Hemodynamics; Medicine; Physics; Structural engineering; Engineering; Finite element method","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001251198,0.0001566521,0.000274712,0.00002727572,0.00009418092,0.00001367951,0.00006836154,0.00008963955,0.00002509541],"category_scores_gemma":[0.0002293151,0.00009696094,0.0004034111,0.0001125889,0.00001264375,0.0000591823,0.00003650101,0.0002238129,0.000001688936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002706847,"about_ca_system_score_gemma":0.00004949794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000138595,"about_ca_topic_score_gemma":0.000004308348,"domain_scores_codex":[0.999114,0.00001386013,0.0002637928,0.0001871126,0.0002555489,0.0001656963],"domain_scores_gemma":[0.9994194,0.0001090537,0.00006948593,0.0002466838,0.00009482118,0.00006054955],"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":[0.00005246159,0.00001566414,0.000007438733,0.0001069185,0.0004169863,6.184916e-7,0.0004610746,0.9561789,0.04088613,0.0009230363,0.0003216807,0.0006290672],"study_design_scores_gemma":[0.0005891687,0.00008623878,0.00002408013,0.00006637108,0.0005861958,0.00008036486,0.00003200861,0.9824932,0.01516107,0.000217674,0.0005684695,0.00009517393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04665045,0.0003416493,0.9511747,0.0006767245,0.0007432332,0.0002996667,0.00002197503,0.00009003982,0.000001505384],"genre_scores_gemma":[0.9527072,0.00001924154,0.04623504,0.000585963,0.00034178,0.00002888973,0.00003663506,0.00003820502,0.000007071853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9060567,"threshold_uncertainty_score":0.3953952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105560534603285,"score_gpt":0.2523886487078421,"score_spread":0.2313330433618093,"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."}}