{"id":"W3126975005","doi":"10.21203/rs.3.rs-52784/v1","title":"Comparisons of Simulation Results between Passive and Active FSI Models for Left Ventricle in Hypertrophic Obstructive Cardiomyopathy","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":0,"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; National Institutes of Health; Natural Science Foundation of Fujian Province","keywords":"Ventricle; Hemodynamics; Cardiology; Hypertrophic cardiomyopathy; Shear stress; Active contour model; Endocardium; Medicine; Mitral valve; Internal medicine; Mathematics; Computer science; Mechanics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003728282,0.0008240541,0.0004554876,0.0005126799,0.0003964182,0.0006400949,0.0008209532,0.0009795144,0.002072155],"category_scores_gemma":[0.001143209,0.0003108155,0.0007909219,0.0002788529,0.0004008861,0.0004491347,0.0004059387,0.0003629113,0.0001903131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003841011,"about_ca_system_score_gemma":0.0006181281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01212027,"about_ca_topic_score_gemma":0.00584473,"domain_scores_codex":[0.999877,0.00003679331,0.00001145457,0.00002213981,0.00003139766,0.00002129831],"domain_scores_gemma":[0.9995052,0.0002834326,0.00005691897,0.00003661863,0.00008054473,0.0000372722],"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":[0.0001432313,0.0001230241,0.005187346,0.00007610491,0.00003378362,0.0001462744,0.00008212744,0.9831104,0.003250775,0.0008250256,0.000399198,0.006622551],"study_design_scores_gemma":[0.00001348787,0.00004072677,0.0005913198,0.000005659258,0.00001142624,0.00001528317,0.00001310262,0.9984263,0.0005708657,0.0001535276,0.0001528721,0.000005490385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8636636,0.0005105019,0.1238628,0.0004278786,0.0001674535,0.0001161324,0.0007094805,0.0007965475,0.009745636],"genre_scores_gemma":[0.9899756,0.0001778962,0.00783352,0.0000405726,0.0000261339,0.00008005086,0.0002949157,0.00004703973,0.001524303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01212027,"threshold_uncertainty_score":0.02409947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1230733978736848,"score_gpt":0.3922558943035536,"score_spread":0.2691824964298688,"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."}}