{"id":"W3119408496","doi":"10.1186/s12938-020-00838-4","title":"Comparisons of simulation results between passive and active fluid structure interaction models for left ventricle in hypertrophic obstructive cardiomyopathy","year":2021,"lang":"en","type":"article","venue":"BioMedical Engineering OnLine","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Heart, Lung, and Blood Institute; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Ventricle; Hemodynamics; Cardiology; Hypertrophic cardiomyopathy; Endocardium; Shear stress; Fluid–structure interaction; Active contour model; Medicine; Internal medicine; Biomedical engineering; Mathematics; Computer science; Mechanics; Structural engineering; Physics; Engineering; Finite element method; Artificial intelligence","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":[0.00007427912,0.0001498436,0.0005613056,0.0001856772,0.00002894895,0.000005573972,0.00003205791,0.0001347042,0.000001989837],"category_scores_gemma":[0.0006171623,0.0001396768,0.0001034807,0.0002733663,0.00006329431,0.00008289687,0.00005790936,0.0002077695,1.142403e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083002,"about_ca_system_score_gemma":0.00006512397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001796987,"about_ca_topic_score_gemma":0.000004598758,"domain_scores_codex":[0.9989244,0.00002235773,0.0003816547,0.0002733055,0.0002128611,0.0001854706],"domain_scores_gemma":[0.9990918,0.0003809237,0.00007902044,0.0001431227,0.0001983726,0.0001067293],"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":[0.004602096,0.0009377245,0.007500246,0.001980475,0.002212671,0.0003889549,0.005923673,0.6141168,0.2384999,0.0002888201,0.0003927392,0.1231559],"study_design_scores_gemma":[0.008958852,0.0005824231,0.2991269,0.0007761121,0.0005725853,0.0001434224,0.001564921,0.6621137,0.0180091,0.000162224,0.007603103,0.0003866863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634651,0.0007479409,0.03359487,0.0004135654,0.0002520369,0.0002947306,0.001189473,0.00003344917,0.000008845505],"genre_scores_gemma":[0.9943367,0.00009075353,0.004504982,0.00001525982,0.000377914,0.000006817321,0.0006432048,0.00001748094,0.000006950988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2916266,"threshold_uncertainty_score":0.5695853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260605500302253,"score_gpt":0.2924304691363573,"score_spread":0.2663699191061321,"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."}}