{"id":"W1973514195","doi":"10.1002/1097-0363(20000615)33:3<355::aid-fld12>3.0.co;2-x","title":"A pressure-based unstructured grid method for all-speed flows","year":2000,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Airfoil; Finite volume method; Compressibility; Grid; Interpolation (computer graphics); Unstructured grid; Computer science; SIMPLE algorithm; Compressible flow; Mesh generation; Computational fluid dynamics; Mechanics; Applied mathematics; Algorithm; Mathematics; Geometry; Physics; Finite element method; Artificial intelligence","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":[0.001061979,0.0002600614,0.0003667898,0.0002573853,0.00007466603,0.0001555149,0.0005742299,0.0001391886,0.0002860871],"category_scores_gemma":[0.0003150532,0.0002506807,0.000354873,0.0001927808,0.00002198213,0.0001488999,0.00002232873,0.0003496142,0.000003894683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002232647,"about_ca_system_score_gemma":0.00006253897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001067054,"about_ca_topic_score_gemma":0.000003334651,"domain_scores_codex":[0.9981259,0.0001540483,0.0007062155,0.0002726613,0.0003720124,0.0003691715],"domain_scores_gemma":[0.9981056,0.001253786,0.00005933002,0.0001364145,0.0002895873,0.0001552523],"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":[0.0002370813,0.00004587921,0.00002611343,0.0000190538,0.0002379816,0.000006513922,0.00004682322,0.7503006,0.006553865,0.001915711,0.0009807306,0.2396296],"study_design_scores_gemma":[0.001480759,0.00008019355,0.000227359,0.00003024438,0.00004258128,0.00007137791,0.000004850161,0.8659723,0.0004335119,0.02222544,0.1091827,0.0002486137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002980631,0.0002895464,0.9904402,0.0006945273,0.004647708,0.0003683633,0.0002364598,0.00009343107,0.0002490856],"genre_scores_gemma":[0.007805244,0.00005159822,0.9903004,0.000474188,0.000915034,0.00005897551,0.0001132795,0.00007385862,0.0002074525],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.239381,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763716522048558,"score_gpt":0.3765302723025469,"score_spread":0.3588931070820613,"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."}}