{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004038741,0.0006102351,0.0007449147,0.0004315507,0.0006712986,0.0006089166,0.001631653,0.0006931046,0.006452436],"category_scores_gemma":[0.001191227,0.0002708335,0.0005143274,0.000614595,0.0003998756,0.0005843491,0.001029729,0.001158271,0.0028692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003005367,"about_ca_system_score_gemma":0.00109199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001496357,"about_ca_topic_score_gemma":0.001332057,"domain_scores_codex":[0.9996538,0.00006138926,0.00001664054,0.0000291235,0.000214253,0.00002466344],"domain_scores_gemma":[0.9996792,0.00006799466,0.00002369808,0.00005897189,0.0001412045,0.00002885502],"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":[0.00008968486,0.00010736,0.0005932809,0.0004021264,0.00003451196,0.0003486244,0.0002038188,0.4712307,0.02440432,0.1219091,0.01814461,0.3625318],"study_design_scores_gemma":[0.00003796062,0.00003203966,0.0001187505,0.00001284688,0.000004987828,0.0000852736,0.000009498856,0.9627804,0.002818244,0.00993832,0.02414601,0.00001578739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001116217,0.00006171327,0.9955134,0.00003409343,0.00007923748,0.00007057461,0.00007265903,0.000693391,0.002358764],"genre_scores_gemma":[0.03332983,0.0001325276,0.9616905,0.00004394884,0.00004367879,0.0004054893,0.000324039,0.0002892833,0.003740562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006452436,"threshold_uncertainty_score":0.02158558,"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."}}