{"id":"W4403052995","doi":"10.1007/s13239-024-00754-x","title":"Finite Element Simulation of Opening Angle Response of Porcine Aortas Using Layer Specific GAG Distributions in One and Two Layered Solid Matrices","year":2024,"lang":"en","type":"article","venue":"Cardiovascular Engineering and Technology","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Adventitia; Composite material; Matrix (chemical analysis); Biomedical engineering; Thoracic aorta; Stiffness; Glycosaminoglycan; Swelling; Ultimate tensile strength; Descending aorta; Aorta; Anatomy; Chemistry; Surgery; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003314925,0.0001134966,0.0003245811,0.0004406178,0.00001918161,0.00001608907,0.00004750703,0.0001000978,0.000002391049],"category_scores_gemma":[0.00005997702,0.0001281309,0.00005737633,0.0004148458,0.00002876213,0.00007178311,0.00005164956,0.0001254272,3.208761e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003458076,"about_ca_system_score_gemma":0.000008205842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000131863,"about_ca_topic_score_gemma":0.000001013782,"domain_scores_codex":[0.9993307,0.00001535425,0.0002645674,0.0001555441,0.00007694672,0.0001568589],"domain_scores_gemma":[0.9996804,0.00008552887,0.00001603085,0.0001632014,0.00003207855,0.00002276679],"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":[0.00001078023,0.000004527516,0.00005803914,0.0002517063,0.0001557511,0.00001219132,0.00004747565,0.8117651,0.1863721,0.0004067345,3.724047e-7,0.0009152087],"study_design_scores_gemma":[0.0003327801,0.00002809854,0.0001521368,0.0003792709,0.0000839526,0.00001547735,0.00003527396,0.9180487,0.08039616,0.00008946965,0.0003184906,0.0001201319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6139774,0.01188487,0.3738527,0.000006601462,0.0000736176,0.00007387786,0.00001725578,0.0001107967,0.000002951138],"genre_scores_gemma":[0.9956405,0.00059045,0.003706434,2.472578e-7,0.00002517829,0.000007279787,0.00000734238,0.00002177416,7.811643e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3816631,"threshold_uncertainty_score":0.5225025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000705706573804,"score_gpt":0.2385290566969448,"score_spread":0.2185219996312067,"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."}}