{"id":"W1580134939","doi":"10.1111/j.1525-1594.2008.00644.x","title":"Numerical Simulations of Blood Flow in Artificial and Natural Hearts With Fluid–Structure Interaction","year":2008,"lang":"en","type":"article","venue":"Artificial Organs","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Pulsatile flow; Fluid–structure interaction; Diaphragm (acoustics); Mechanics; Fluid dynamics; Flow (mathematics); Blood flow; Current (fluid); Computer simulation; Computer science; Biomedical engineering; Simulation; Physics; Engineering; Acoustics; Medicine; Cardiology; Finite element method; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004241787,0.0001436293,0.0002306304,0.0001116427,0.00006513367,0.00001479823,0.00005834784,0.00008652206,0.0002031396],"category_scores_gemma":[0.00004244881,0.0001319501,0.00002844425,0.0003471848,0.00005388421,0.0001981086,0.00001180871,0.0002270346,0.000009694506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002124279,"about_ca_system_score_gemma":0.00002395421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003664692,"about_ca_topic_score_gemma":0.0004745802,"domain_scores_codex":[0.9990616,0.00002947596,0.0003439508,0.0001925988,0.0001752157,0.0001970971],"domain_scores_gemma":[0.9996205,0.00007305376,0.00003651938,0.0001566715,0.00004049132,0.00007278087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001503047,0.000241849,0.05414843,0.0001231065,0.0001581229,0.00016698,0.003560172,0.2780709,0.6582684,0.001082093,0.00007459071,0.003955039],"study_design_scores_gemma":[0.0004340219,0.0001516066,0.03965469,0.00005845827,0.00009090493,0.0002153978,0.0002149814,0.5557409,0.4016555,0.0009698442,0.0003151311,0.0004985482],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985819,0.00005976324,0.0007498462,0.00006822927,0.0002498251,0.0001446931,0.00001591414,0.00009113716,0.00003868518],"genre_scores_gemma":[0.9992774,0.000001357905,0.0005312828,0.00002924622,0.0001068554,0.000002292466,0.00002003621,0.00002811099,0.000003437022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.27767,"threshold_uncertainty_score":0.5380771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218860404101399,"score_gpt":0.2156592292220575,"score_spread":0.2034706251810435,"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."}}