{"id":"W2552672935","doi":"10.1002/nme.5480","title":"Stabilized finite element methods for vertically averaged multiphase flow for carbon sequestration","year":2016,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Upwind scheme; Mathematics; Nonlinear system; Euler equations; Partial differential equation; Backward Euler method; Applied mathematics; Galerkin method; Euler's formula; Boundary value problem; Mathematical analysis; Discretization; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006158606,0.0006651946,0.0006288068,0.0005769072,0.0004043096,0.0005579601,0.0008443057,0.001225251,0.003106026],"category_scores_gemma":[0.001475772,0.0003609654,0.0006460903,0.0003811337,0.0005870686,0.0004905929,0.000881828,0.0007941539,0.0007302354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005987393,"about_ca_system_score_gemma":0.0009740489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003268598,"about_ca_topic_score_gemma":0.002940685,"domain_scores_codex":[0.9997612,0.00009681868,0.00001247454,0.00002143697,0.00009075873,0.00001729462],"domain_scores_gemma":[0.9993473,0.0003749087,0.00006058422,0.00004348807,0.0001480821,0.00002564363],"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":[0.00002655325,0.00003578986,0.0003440494,0.00006481473,0.00001548709,0.00004155436,0.00005933622,0.9624206,0.008039648,0.01241756,0.0004218271,0.01611278],"study_design_scores_gemma":[0.00000216625,0.000004229456,0.00002146771,0.000003424116,7.861861e-7,0.000003504264,0.000002907021,0.9980993,0.0003683821,0.001003759,0.0004884847,0.000001734617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01295504,0.0002475298,0.9836362,0.0001162531,0.00004131264,0.00005884144,0.00007732488,0.0003115726,0.002555968],"genre_scores_gemma":[0.4223287,0.0004445629,0.5673673,0.0001186693,0.00005972542,0.0007358866,0.0003114016,0.0003514477,0.008282416],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003268598,"threshold_uncertainty_score":0.0103907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03658417100729659,"score_gpt":0.4219913332564874,"score_spread":0.3854071622491907,"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."}}