{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046387,0.0006241392,0.0007213758,0.0005802853,0.0002730817,0.0009411743,0.0008792811,0.001496385,0.0006815997],"category_scores_gemma":[0.002726201,0.0003498244,0.0004866382,0.0003785554,0.001657495,0.001020163,0.001069652,0.0008016798,0.0003017299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005538996,"about_ca_system_score_gemma":0.0006214562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002540587,"about_ca_topic_score_gemma":0.002048466,"domain_scores_codex":[0.9996006,0.0001392453,0.00001865765,0.00004874089,0.0001593875,0.0000332923],"domain_scores_gemma":[0.9991872,0.0005109945,0.0001023674,0.0000532763,0.0001079998,0.00003820514],"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":[0.00002402111,0.00002589369,0.0003738791,0.00005399886,0.00001136491,0.0000535955,0.00008404637,0.9634137,0.004744507,0.0244496,0.0001330373,0.006632365],"study_design_scores_gemma":[0.000002894924,0.000006030524,0.00002588499,0.000004399748,0.000001103399,0.000008624796,0.000008183145,0.9963373,0.0007059508,0.002488689,0.0004082386,0.000002746484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05993043,0.0004121698,0.9355249,0.0002042515,0.00005953718,0.00003598194,0.00003556898,0.0001397642,0.003657413],"genre_scores_gemma":[0.7462007,0.0007126427,0.2397153,0.0001772846,0.00007843239,0.0002045677,0.0001850916,0.000154574,0.01257133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002540587,"threshold_uncertainty_score":0.005533874,"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."}}