{"id":"W2022581043","doi":"10.1016/s0045-7825(02)00627-8","title":"A characteristic/finite element algorithm for time-dependent 3-D advection-dominated transport using unstructured grids","year":2003,"lang":"en","type":"article","venue":"Computer Methods in Applied Mechanics and Engineering","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of New Brunswick; University of Toronto","funders":"","keywords":"Advection; Convection–diffusion equation; Mathematics; Finite element method; Péclet number; Galerkin method; Algorithm; Operator (biology); Applied mathematics; Discontinuous Galerkin method; Mathematical analysis; Mechanics; Physics; Thermodynamics","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":[0.000858663,0.0003472932,0.0005074316,0.0002203617,0.00005867999,0.00002885247,0.0001253395,0.0001389691,0.000009823882],"category_scores_gemma":[0.00005484608,0.0003882922,0.00006704273,0.0003145217,0.000008629595,0.00005556217,0.00003190635,0.0002716202,8.518606e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474708,"about_ca_system_score_gemma":0.00001447149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.867896e-7,"about_ca_topic_score_gemma":6.31561e-8,"domain_scores_codex":[0.9985018,0.00004629976,0.0005554793,0.000354685,0.0001465658,0.0003951891],"domain_scores_gemma":[0.998957,0.0006253962,0.0000694592,0.0001914787,0.00004061522,0.0001160927],"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":[0.000005281483,0.00001931241,5.668737e-7,0.0002048385,0.00005458523,0.00000342301,0.0001054563,0.7835146,0.0221995,0.01224054,0.000001505414,0.1816504],"study_design_scores_gemma":[0.0006356782,0.0000302299,0.000006567683,0.00005099582,0.00003473222,0.00002155789,0.00001331527,0.9520696,0.008975296,0.03701267,0.0007597217,0.0003895979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004989806,0.0001056575,0.9976246,0.000002087958,0.0009138614,0.0005594096,0.00001796962,0.0002401946,0.00003724057],"genre_scores_gemma":[0.006732302,0.00003018616,0.9928538,0.00002612592,0.0001195415,0.0001174073,0.00001401667,0.0001040796,0.000002536359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1812608,"threshold_uncertainty_score":0.9998569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623138475377072,"score_gpt":0.2872550857091597,"score_spread":0.271023700955389,"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."}}