{"id":"W2163009740","doi":"10.1016/j.media.2014.11.003","title":"Subject-specific finite-element modeling of normal aortic valve biomechanics from 3D+t TEE images","year":2014,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cardiac cycle; Aortic valve; Finite element method; Biomechanics; Biomedical engineering; Tearing; Computer science; Mathematics; Medicine; Structural engineering; Anatomy; Surgery; Cardiology; Mechanical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004235276,0.0002526131,0.000916821,0.0004135083,0.00007190146,0.00003111205,0.0001657049,0.0001221651,0.003640609],"category_scores_gemma":[0.0004537219,0.0002026612,0.002594495,0.0009443846,0.00009640928,0.00008678716,0.0001177726,0.0001818391,0.0001147176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006914998,"about_ca_system_score_gemma":0.00008316561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007986558,"about_ca_topic_score_gemma":0.00001201612,"domain_scores_codex":[0.9971188,0.0001096488,0.0006679173,0.000485848,0.001239486,0.0003783431],"domain_scores_gemma":[0.9981802,0.0002244044,0.0001488595,0.0006800924,0.0002406095,0.0005258505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001249341,0.007901772,0.4715907,0.00056757,0.1203621,0.000556046,0.001034154,0.003700977,0.01576961,0.0001624601,0.004081787,0.3730235],"study_design_scores_gemma":[0.003083284,0.0002417082,0.02173318,0.0001088257,0.02767012,0.000002012228,0.0002676334,0.9432677,0.002759737,0.000235447,0.0003025572,0.0003277975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6294753,0.001446734,0.3667084,0.0003741971,0.0001314727,0.000222958,0.0002258536,0.00007204751,0.00134299],"genre_scores_gemma":[0.9948676,0.0005767491,0.003074845,0.0002818351,0.0002399916,0.00002249712,0.000843593,0.00002810663,0.00006480291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9395667,"threshold_uncertainty_score":0.9972702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195602693421876,"score_gpt":0.303682677898732,"score_spread":0.2917266509645133,"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."}}