{"id":"W4389541462","doi":"10.17118/11143/20853","title":"p-Refinement with curvilinear elements for a discontinuous Galerkinspectral element method wave equation solver","year":2023,"lang":"en","type":"article","venue":"","topic":"Numerical methods in engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Curvilinear coordinates; Solver; Discontinuous Galerkin method; Spectral element method; Galerkin method; Applied mathematics; Element (criminal law); Computer science; Finite element method; Mathematical analysis; Mathematics; Mathematical optimization; Physics; Mixed finite element method; Geometry","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":[0.0007278676,0.00041783,0.0003678286,0.0003528427,0.0003339406,0.000582662,0.001042739,0.0008007537,0.006839663],"category_scores_gemma":[0.002013742,0.0003025733,0.0006182737,0.0004731301,0.0005427868,0.0005925376,0.001386249,0.001595225,0.0025317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003189316,"about_ca_system_score_gemma":0.000957636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002359197,"about_ca_topic_score_gemma":0.003753393,"domain_scores_codex":[0.9996417,0.00009640156,0.00002235676,0.0000389314,0.0001772531,0.00002339709],"domain_scores_gemma":[0.9995517,0.000192814,0.00003096348,0.00007958183,0.0001202779,0.00002471073],"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":[0.0002115044,0.0002030398,0.003014241,0.0004448465,0.00006390483,0.0003942885,0.0004595088,0.514641,0.05902906,0.1614213,0.008489033,0.2516283],"study_design_scores_gemma":[0.00001732451,0.00003177649,0.000140487,0.00002256411,0.000005081893,0.00005461013,0.00002249896,0.9762095,0.003592896,0.008163511,0.01173045,0.000009304209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003305697,0.00006185704,0.9938694,0.00007822319,0.00003340752,0.00003766608,0.00005361062,0.0002477493,0.002312435],"genre_scores_gemma":[0.07707135,0.0001705708,0.9158447,0.0001292268,0.0000202002,0.0002166044,0.000261014,0.000338295,0.005947925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006839663,"threshold_uncertainty_score":0.02288097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04240533465978572,"score_gpt":0.2991724337696106,"score_spread":0.2567670991098248,"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."}}