{"id":"W4233517437","doi":"10.13052/17797179.2012.702431","title":"High order optimal anisotropic mesh adaptation using hierarchical elements","year":2012,"lang":"en","type":"article","venue":"European Journal of Computational Mechanics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Finite element method; Polygon mesh; Degree (music); Interpolation (computer graphics); Mathematics; Applied mathematics; Discretization; Degree of a polynomial; Metric (unit); Lagrange polynomial; Mathematical optimization; Metric tensor; Computer science; Mathematical analysis; Polynomial; Geometry; Physics; Frame (networking); Engineering","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":[0.0006388181,0.000432617,0.0005809706,0.0004783077,0.0003079723,0.0006731427,0.0008337489,0.0008756716,0.001380997],"category_scores_gemma":[0.00210426,0.0004174978,0.0006600774,0.0004673022,0.000852485,0.0007503794,0.001606096,0.001067625,0.0005928501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005292426,"about_ca_system_score_gemma":0.0005177033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161956,"about_ca_topic_score_gemma":0.002128952,"domain_scores_codex":[0.9994783,0.000152113,0.00002410475,0.00006368921,0.0002338215,0.00004813491],"domain_scores_gemma":[0.9994913,0.0002111095,0.00005228273,0.0001279561,0.00008431517,0.000032869],"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":[0.0001266783,0.00005305956,0.00101949,0.0001262977,0.00003576336,0.0001195642,0.0002767303,0.7727591,0.05352688,0.08290087,0.00157609,0.08747943],"study_design_scores_gemma":[0.000004471568,0.00001348906,0.00007683411,0.000006359109,0.000002667563,0.00001770842,0.000008806532,0.98867,0.002439901,0.007514929,0.001238152,0.000006557204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01510319,0.00009572227,0.9826835,0.00005789665,0.00002273273,0.00001853416,0.00001814044,0.0001942444,0.001805945],"genre_scores_gemma":[0.3967135,0.0002385533,0.5990162,0.00009844462,0.00003595202,0.0001014763,0.0001264904,0.0002651268,0.003404357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00161956,"threshold_uncertainty_score":0.004619956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04279443584712383,"score_gpt":0.2922081205382991,"score_spread":0.2494136846911753,"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."}}