{"id":"W2333788101","doi":"10.2514/6.2007-4464","title":"On Obtaining High-Order Finite-Volume Solutions to the Euler Equations on Unstructured Meshes","year":2007,"lang":"en","type":"article","venue":"18th AIAA Computational Fluid Dynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Polygon mesh; Finite volume method; Euler equations; Euler's formula; Computer science; Semi-implicit Euler method; Volume (thermodynamics); Backward Euler method; Order (exchange); Euler method; Applied mathematics; Mathematics; Mathematical analysis; Mechanics; Physics; Computer graphics (images); Thermodynamics","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":[0.0004552258,0.0004552304,0.0003153996,0.0004129384,0.0006375181,0.0002397776,0.0005540739,0.0001501406,0.0001193045],"category_scores_gemma":[0.0004814841,0.0004209024,0.0001215466,0.0009661805,0.0001052952,0.0001423614,0.0001209186,0.000509177,0.0003628543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004862893,"about_ca_system_score_gemma":0.0002090946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004149275,"about_ca_topic_score_gemma":0.00058616,"domain_scores_codex":[0.997278,0.00006430531,0.0006518705,0.0005163077,0.0007956328,0.0006938775],"domain_scores_gemma":[0.9960139,0.002601207,0.000079942,0.000416532,0.0006369743,0.0002514092],"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":[0.00001512405,0.00002851235,0.00002583315,0.000005619152,0.0000398362,0.000004416895,0.0001342813,0.5515329,0.00003422619,0.4436762,0.0003032801,0.004199738],"study_design_scores_gemma":[0.0003651624,0.0001428713,0.009484919,0.00005688644,0.00002180394,0.000007453205,0.00008483241,0.9443589,0.000003396407,0.04466107,0.0003562038,0.0004564746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0871848,0.00002302226,0.9057372,0.00224837,0.001336605,0.0004097374,0.0004589453,0.0003400357,0.002261329],"genre_scores_gemma":[0.9782696,0.000007874967,0.01908852,0.0008022217,0.0001849664,0.00003990432,0.001266574,0.00007498199,0.0002652951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8910848,"threshold_uncertainty_score":0.9998243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382967506570987,"score_gpt":0.2269599207918035,"score_spread":0.2131302457260937,"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."}}