{"id":"W2143678957","doi":"10.1002/fld.848","title":"Multidimensional positive definite advection transport algorithm (MPDATA): an edge‐based unstructured‐data formulation","year":2005,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"U.S. Department of Energy","keywords":"Curvilinear coordinates; Polygon mesh; Finite volume method; Cartesian coordinate system; Advection; Upwind scheme; Algorithm; Mesh generation; Computer science; Unstructured grid; Applied mathematics; Geometry; Mathematics; Mathematical analysis; Finite element method; Grid; Physics; Mechanics; Discretization","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":[0.0005033164,0.0003990539,0.0003134909,0.0002875419,0.0002469342,0.0009959352,0.001066517,0.0008164245,0.001232032],"category_scores_gemma":[0.001664074,0.0002475926,0.0004162893,0.000304937,0.0007145103,0.001032717,0.001112161,0.001086932,0.0004423755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587548,"about_ca_system_score_gemma":0.0006283464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009259211,"about_ca_topic_score_gemma":0.0009018175,"domain_scores_codex":[0.9997711,0.00006063078,0.00001819794,0.00002730767,0.0001104075,0.00001238085],"domain_scores_gemma":[0.9994086,0.0002190844,0.00006052614,0.0001092243,0.0001694316,0.00003310384],"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":[0.0001171608,0.00007866692,0.001095194,0.0001929825,0.00003470628,0.0002259101,0.0001815405,0.6825947,0.02082309,0.189038,0.003507507,0.1021105],"study_design_scores_gemma":[0.000008265272,0.00000966996,0.00002809851,0.000003180875,0.000001363776,0.00001556436,0.000003640265,0.9903609,0.001568918,0.0058003,0.002196437,0.000003631149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006549069,0.00005784197,0.9918618,0.0001299455,0.00005230543,0.0000244916,0.00004824911,0.0001332368,0.001143039],"genre_scores_gemma":[0.2016938,0.0001563749,0.7924666,0.0001394876,0.00005146812,0.0001997134,0.0002819754,0.0001837619,0.004826812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001232032,"threshold_uncertainty_score":0.004121542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899366739378621,"score_gpt":0.3761892095007917,"score_spread":0.3471955421070054,"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."}}