{"id":"W4317632490","doi":"10.2514/6.2023-2368","title":"High-Order Reconstruction of Defect Corrected Solutions on Unstructured Meshes","year":2023,"lang":"en","type":"article","venue":"AIAA SCITECH 2023 Forum","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Polygon mesh; Solver; Finite volume method; Truncation (statistics); Computer science; Applied mathematics; Stability (learning theory); Piecewise; Volume (thermodynamics); Control volume; Work (physics); Mathematical optimization; Order (exchange); Algorithm; Computational fluid dynamics; Mathematics; Mathematical analysis; Mechanical engineering; Engineering; Mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001105598,0.0001508938,0.0001790997,0.0003133661,0.0001179307,0.00002299654,0.0001258132,0.00009955621,0.00004602335],"category_scores_gemma":[0.00005932668,0.0001565758,0.000102675,0.001348135,0.00005021759,0.00008020386,0.00005066778,0.0001596893,0.00008322534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007436564,"about_ca_system_score_gemma":0.00002945198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004658692,"about_ca_topic_score_gemma":0.0002126549,"domain_scores_codex":[0.9990286,0.00001601565,0.0002546148,0.000187247,0.0001955132,0.0003179816],"domain_scores_gemma":[0.9994953,0.000120981,0.00003892167,0.0001952243,0.0001003073,0.00004927449],"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":[0.000009912626,0.00001270235,0.0004909909,0.00003607802,0.0001077034,0.000003440691,0.00003454324,0.9187649,0.01230762,0.02993488,0.005320111,0.03297705],"study_design_scores_gemma":[0.0002858278,0.00005779705,0.01060012,0.00005674146,0.00001906371,0.00001300103,0.00008498148,0.9725855,0.0007291916,0.01492005,0.0004342847,0.000213422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741939,0.0000575074,0.02000453,0.0003485898,0.00311959,0.0002153701,0.0002293201,0.0008691793,0.0009620707],"genre_scores_gemma":[0.9971048,0.00005914031,0.002224681,0.00002301684,0.00005120785,0.00001580377,0.0002276881,0.00003650861,0.0002572012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05382055,"threshold_uncertainty_score":0.6384974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007106985153874458,"score_gpt":0.1991077123687758,"score_spread":0.1920007272149014,"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."}}