{"id":"W2166667176","doi":"10.2514/6.2011-3854","title":"High-Order CENO Finite-Volume Schemes for Multi-Block Unstructured Mesh","year":2011,"lang":"en","type":"article","venue":"20th AIAA Computational Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Finite volume method; Computer science; Block (permutation group theory); Volume (thermodynamics); Mesh generation; Order (exchange); Unstructured grid; Polygon mesh; Finite element method; Mathematics; Engineering; Mechanics; Computational fluid dynamics; Structural engineering; Computer graphics (images); Geometry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001681488,0.0005429183,0.000484191,0.000264766,0.0002405909,0.0001422305,0.00054557,0.000229898,0.0001562625],"category_scores_gemma":[0.0001114296,0.0006127433,0.000181188,0.0004427783,0.0001422608,0.000274712,0.000119311,0.0003091422,0.00007406878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448289,"about_ca_system_score_gemma":0.0002473259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004920888,"about_ca_topic_score_gemma":0.0001580816,"domain_scores_codex":[0.9976065,0.00003741814,0.0007232049,0.0005947867,0.0004265256,0.00061161],"domain_scores_gemma":[0.9980472,0.000267103,0.0001123985,0.000330743,0.001008951,0.0002335822],"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":[0.00002738669,0.00007470553,0.0004289816,0.00007342737,0.0001302239,0.000005430908,0.0001728184,0.6616816,0.0001384376,0.3332201,0.0002005766,0.003846346],"study_design_scores_gemma":[0.001172667,0.00007700911,0.007830594,0.00003853553,0.00004304699,0.00001433164,0.00004265551,0.9620521,0.00002579852,0.0276959,0.0003288852,0.0006784996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09031464,0.00008249933,0.9058855,0.00009669127,0.001121213,0.0005532491,0.0009854567,0.0004766848,0.0004841268],"genre_scores_gemma":[0.6798744,0.0000251597,0.3177495,0.0001002322,0.00008119601,0.00006524069,0.001713478,0.00008415945,0.0003065899],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5895598,"threshold_uncertainty_score":0.9996324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370046627397783,"score_gpt":0.2265333834338571,"score_spread":0.2028329171598792,"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."}}