{"id":"W2887720980","doi":"10.1007/s10237-018-1060-5","title":"Nonlinear model of human descending thoracic aortic segments with residual stresses","year":2018,"lang":"en","type":"article","venue":"Biomechanics and Modeling in Mechanobiology","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Qatar National Research Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Qatar Foundation","keywords":"Materials science; Hyperelastic material; Nonlinear system; Residual stress; Mechanics; Shell (structure); Thoracic aorta; Structural engineering; Finite element method; Descending aorta; Aorta; Deformation (meteorology); Composite material; Physics; Engineering; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013842,0.0005054807,0.0004318912,0.0002338342,0.0003208964,0.0005750171,0.0009587251,0.00142447,0.002485547],"category_scores_gemma":[0.0004067283,0.0003614468,0.0004790499,0.0002802174,0.0005531729,0.0003493272,0.0004417563,0.0004059825,0.0005228753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003973566,"about_ca_system_score_gemma":0.0006226155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01148355,"about_ca_topic_score_gemma":0.008513086,"domain_scores_codex":[0.9999181,0.00001964982,0.000004989191,0.00002817183,0.00001632393,0.00001269622],"domain_scores_gemma":[0.999876,0.00004590649,0.00002624486,0.00001318423,0.00002482996,0.00001387525],"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":[0.00003875356,0.00002418415,0.0006632369,0.00002908537,0.00001244426,0.0001655656,0.00005421342,0.9917291,0.003486536,0.001680327,0.0001249521,0.001991616],"study_design_scores_gemma":[0.000006060961,0.00003454866,0.0007116168,0.000004648811,0.000008224524,0.00004869285,0.00001968965,0.9981375,0.0002509068,0.0004955446,0.0002776994,0.000004905115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5658648,0.0009604634,0.4025858,0.0009400176,0.0001544496,0.0001055875,0.001321584,0.0003888502,0.02767848],"genre_scores_gemma":[0.9809852,0.0003323893,0.004347224,0.00004980031,0.0000219852,0.00006842543,0.0002430097,0.0000247967,0.01392725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01148355,"threshold_uncertainty_score":0.02283341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04931241723947651,"score_gpt":0.2783476794685154,"score_spread":0.2290352622290388,"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."}}