{"id":"W7132960977","doi":"","title":"A parallel adaptive mesh refinement scheme for hypersonic flows with an equilibrium high-temperature equation of state","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Discretization; Inviscid flow; Multigrid method; Finite volume method; Partial differential equation; Hypersonic speed; Euler equations; Computational fluid dynamics; Central differencing scheme; Domain decomposition methods","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004385871,0.0004430881,0.0006347346,0.0003183017,0.0004543229,0.0004804407,0.001216938,0.0005736196,0.001425816],"category_scores_gemma":[0.0008013185,0.0002429049,0.0005751005,0.0004090169,0.0004382317,0.0005562612,0.0007078498,0.0007518414,0.000437511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152352,"about_ca_system_score_gemma":0.000753266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002489156,"about_ca_topic_score_gemma":0.002421538,"domain_scores_codex":[0.9997461,0.00005503338,0.00001277932,0.0000280489,0.0001380797,0.00001987329],"domain_scores_gemma":[0.9997616,0.00006759984,0.00003516773,0.0000451334,0.00007301211,0.00001736641],"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":[0.0001138182,0.00008862228,0.001539587,0.0001841131,0.00004220417,0.00029039,0.0001908852,0.670601,0.06809223,0.06273321,0.002461567,0.1936625],"study_design_scores_gemma":[0.00001330071,0.00002467083,0.0001373265,0.000004991148,0.000003524561,0.00004441868,0.000005500808,0.9924518,0.002742197,0.001947656,0.002618032,0.000006566098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01106862,0.0001406364,0.9863238,0.00005501709,0.00004403857,0.00004832827,0.00003159381,0.0002289993,0.002058931],"genre_scores_gemma":[0.1726651,0.0002956667,0.8219929,0.00004710292,0.00004138501,0.0002351914,0.0001945361,0.0001133734,0.004414752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002489156,"threshold_uncertainty_score":0.004949331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683802626301124,"score_gpt":0.2885599192168838,"score_spread":0.2717218929538726,"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."}}