{"id":"W2033618029","doi":"10.1016/j.compfluid.2014.06.008","title":"Accuracy analysis of unstructured finite volume discretization schemes for diffusive fluxes","year":2014,"lang":"en","type":"article","venue":"Computers & Fluids","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discretization; Finite volume method; Polygon mesh; Truncation error; Applied mathematics; Isotropy; Discretization of continuous features; Mathematics; Computational fluid dynamics; Context (archaeology); Flow (mathematics); Discretization error; Mathematical optimization; Computer science; Mathematical analysis; Mechanics; Geometry; Physics","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":[0.001866614,0.0005460529,0.000768279,0.0008504527,0.0006691613,0.00118519,0.001214069,0.001218322,0.001122905],"category_scores_gemma":[0.01112315,0.0003416693,0.0006886629,0.0004965648,0.001455517,0.001208109,0.001321959,0.001260336,0.0001873167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053404,"about_ca_system_score_gemma":0.0007846136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005086017,"about_ca_topic_score_gemma":0.002312349,"domain_scores_codex":[0.9991218,0.0002676674,0.00004782632,0.00006884599,0.0003925122,0.0001012197],"domain_scores_gemma":[0.9937749,0.004228796,0.0003580262,0.0004505223,0.001074025,0.0001137017],"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":[0.0006307999,0.0001288537,0.0031338,0.0003801517,0.00005811303,0.0001662701,0.0004685714,0.8460867,0.02372697,0.08698422,0.002122759,0.03611279],"study_design_scores_gemma":[0.000008199049,0.0000298064,0.0002813482,0.00001714326,0.000005877484,0.00001749443,0.00001725585,0.9933525,0.002479523,0.003274601,0.0005072776,0.000008943718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2359645,0.00308915,0.7395457,0.0009473262,0.0004572085,0.0001203145,0.0002218928,0.0004288446,0.01922511],"genre_scores_gemma":[0.9331722,0.0005431288,0.06204505,0.0001080402,0.00008523971,0.00005790992,0.0002306766,0.0001761921,0.003581575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005086017,"threshold_uncertainty_score":0.01011282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004091031817359775,"score_gpt":0.2088205704156317,"score_spread":0.2047295385982719,"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."}}