{"id":"W1986267641","doi":"10.1002/(sici)1098-2426(200005)16:3<285::aid-num2>3.0.co;2-3","title":"Finite volume element approximations of nonlocal reactive flows in porous media","year":2000,"lang":"en","type":"article","venue":"Numerical Methods for Partial Differential Equations","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Superconvergence; Mathematics; Finite element method; Finite volume method; Norm (philosophy); Mixed finite element method; Finite volume method for one-dimensional steady state diffusion; Representative elementary volume; Mathematical analysis; hp-FEM; Porous medium; Extended finite element method; Smoothed finite element method; Partial differential equation; Finite element limit analysis; Applied mathematics; Mechanics; Boundary knot method; Porosity; Numerical partial differential equations; Physics; Thermodynamics; Materials science; Boundary element method","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":[],"consensus_categories":[],"category_scores_codex":[0.0003753325,0.0001971151,0.0004225088,0.0001427514,0.00008279735,0.00003516937,0.0004513127,0.00009309404,0.0001607571],"category_scores_gemma":[0.00143302,0.0001913106,0.0001450711,0.0005160405,0.00004971616,0.0002936779,0.00008210433,0.0001950443,0.00001895169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000756017,"about_ca_system_score_gemma":0.0000491317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002202208,"about_ca_topic_score_gemma":0.000004260729,"domain_scores_codex":[0.9980099,0.0001959741,0.0007470344,0.0003928508,0.0002595525,0.000394674],"domain_scores_gemma":[0.9970244,0.002197642,0.0001231178,0.0004369321,0.0000826264,0.0001353395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004127213,0.0006432238,0.000005045039,0.00004618324,0.00003971524,8.614625e-7,0.001533276,0.371078,0.003462186,0.1761764,0.000005170095,0.4469686],"study_design_scores_gemma":[0.0004196485,0.00009654661,0.00008465737,0.00002521253,0.00002383598,6.357314e-7,0.00001128008,0.9447812,0.002383489,0.05182447,0.0001658179,0.000183132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001139835,0.00002076787,0.9976113,0.0001984016,0.0002511708,0.000515254,0.00002169533,0.0001153293,0.0001262187],"genre_scores_gemma":[0.3756898,0.000001893478,0.6239308,0.00001424481,0.00005078339,0.0002627471,0.00001713838,0.00001400037,0.00001859567],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5737032,"threshold_uncertainty_score":0.780142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04496767860722912,"score_gpt":0.3495697283202472,"score_spread":0.3046020497130181,"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."}}