{"id":"W1692022568","doi":"10.1002/fld.2728","title":"A node‐pair finite element/volume mesh adaptation technique for compressible flows based on a hierarchical approach","year":2012,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Quadrilateral; Inviscid flow; Finite element method; Finite volume method; Grid; Unstructured grid; Computer science; Node (physics); Mesh generation; Compressibility; Regular grid; Geometry; Computational science; Applied mathematics; Mathematics; Mathematical optimization; Mechanics; Physics; Engineering; Structural 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":[0.0003499563,0.0003175094,0.0003353281,0.0004504618,0.0003112819,0.0003458272,0.0009640915,0.0003603974,0.002144151],"category_scores_gemma":[0.0008293695,0.0002800037,0.0004080711,0.0004132931,0.0003835146,0.000402858,0.001099427,0.0007821837,0.0006905359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345727,"about_ca_system_score_gemma":0.0003658775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0019749,"about_ca_topic_score_gemma":0.001606627,"domain_scores_codex":[0.9997098,0.00004901248,0.00001530659,0.00004189378,0.0001607551,0.00002327559],"domain_scores_gemma":[0.9997494,0.00005326171,0.00002238516,0.00008670511,0.00007106822,0.00001720184],"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":[0.0001098425,0.0000731227,0.001485895,0.0001159619,0.0000441542,0.0002462388,0.0002750712,0.4521458,0.1147482,0.03808776,0.002813481,0.3898544],"study_design_scores_gemma":[0.000006645324,0.00003045707,0.0003586787,0.00000587313,0.000006826745,0.00006607379,0.00001489123,0.9827821,0.008442228,0.003714077,0.004560333,0.00001181447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009244213,0.00004741983,0.9890289,0.00002927827,0.00002775727,0.0000324668,0.0000168293,0.0004156234,0.001157481],"genre_scores_gemma":[0.2439359,0.0001150116,0.75208,0.0000627786,0.00003365748,0.0001369637,0.0001258206,0.0001700946,0.003339856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002144151,"threshold_uncertainty_score":0.007172942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03427421984999048,"score_gpt":0.3540586504690938,"score_spread":0.3197844306191034,"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."}}