{"id":"W2149713752","doi":"10.1016/j.compfluid.2007.04.005","title":"Three-dimensional aerodynamic computations on unstructured grids using a Newton–Krylov approach","year":2007,"lang":"en","type":"article","venue":"Computers & Fluids","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Preconditioner; Jacobian matrix and determinant; Applied mathematics; Aerodynamics; Mathematics; Computation; Newton's method; Residual; Navier–Stokes equations; Computer science; Krylov subspace; Mathematical optimization; Algorithm; Compressibility; Iterative method; Nonlinear system; Physics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002742244,0.000359863,0.0003757962,0.0002598267,0.0001716769,0.00004629044,0.0003131898,0.0001337241,0.00001052637],"category_scores_gemma":[0.00005262102,0.0003670021,0.0001293616,0.0006164929,0.0001213621,0.0001196598,0.00009669922,0.0003807721,0.00002302654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740741,"about_ca_system_score_gemma":0.00002958153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003404457,"about_ca_topic_score_gemma":0.00000116984,"domain_scores_codex":[0.9981344,0.00003766579,0.0005244915,0.00038696,0.000447327,0.0004691372],"domain_scores_gemma":[0.9984121,0.0008867115,0.00006511776,0.0003445328,0.0001054476,0.000186097],"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":[0.00001381311,0.00006191696,0.00005489929,0.00005612456,0.00006143039,0.00001191086,0.00008889864,0.9657155,0.001692292,0.006675691,0.0004313462,0.02513622],"study_design_scores_gemma":[0.0004184377,0.00005862744,0.003499981,0.00006336247,0.00002276408,0.00007763448,0.00001086116,0.9727107,0.0001672274,0.0224495,0.0001469707,0.0003739591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1377282,0.00009331358,0.8595617,0.00002293239,0.001385204,0.0002495358,0.000008561867,0.0005306247,0.0004199943],"genre_scores_gemma":[0.2324215,8.98476e-7,0.7670437,0.0001614648,0.000262643,0.000004080466,0.00003080226,0.00007006892,0.000004875404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09469333,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.029308674010081,"score_gpt":0.2921524309983939,"score_spread":0.2628437569883129,"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."}}