{"id":"W4299516719","doi":"10.48550/arxiv.1801.04029","title":"A New Continuum-Based Thick Shell Finite Element for Soft Biological\\n Tissues in Dynamics: Part 1 - Preliminary Benchmarking Using Classic\\n Verification Experiments","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hyperelastic material; Finite element method; Shell (structure); Compressibility; Nonlinear system; Polygon mesh; Anisotropy; Materials science; Structural engineering; Computer science; Mechanics; Geometry; Physics; Mathematics; Engineering; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002087003,0.0003527992,0.0003839126,0.0002094712,0.0001008028,0.00006331944,0.000358741,0.0004448902,0.00008713597],"category_scores_gemma":[0.00003782887,0.0004282313,0.0001215749,0.0001449988,0.0000616107,0.00013172,0.0002303073,0.0002795154,0.00001239964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005077993,"about_ca_system_score_gemma":0.00009643797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001451802,"about_ca_topic_score_gemma":0.0001210408,"domain_scores_codex":[0.9984586,0.00006567916,0.0003566804,0.0006571469,0.00006003293,0.0004018727],"domain_scores_gemma":[0.999128,0.0001427573,0.00015985,0.0003851913,0.00007733893,0.0001068644],"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":[0.000244005,0.00005610988,0.0007626304,0.0002447422,0.00005951748,0.00001526948,0.0001889761,0.9952843,0.002029062,0.0006461006,0.0001260024,0.000343245],"study_design_scores_gemma":[0.0007232314,0.0001561207,0.0001242288,0.0006128061,0.00007522291,3.109666e-7,0.0000965994,0.9915885,0.003356485,0.002281643,0.0005348936,0.0004499374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4236638,0.00007438002,0.5746962,0.000007185636,0.0007594008,0.000481593,0.00005026067,0.0001475387,0.000119593],"genre_scores_gemma":[0.990051,0.00009731221,0.009082008,0.00002287078,0.0002903587,0.000009257563,0.0003154415,0.00004384217,0.00008786556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5663872,"threshold_uncertainty_score":0.999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101335903052543,"score_gpt":0.2214102768375705,"score_spread":0.1112766865323163,"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."}}