{"id":"W3182168629","doi":"10.1007/s42967-020-00115-0","title":"A compatible embedded-hybridized discontinuous Galerkin method for the Stokes--Darcy-transport problem","year":2020,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discretization; Discontinuous Galerkin method; Stokes flow; Uniqueness; Mathematics; Galerkin method; Applied mathematics; Finite element method; Flow (mathematics); Darcy's law; Mathematical analysis; Convection–diffusion equation; Mathematical optimization; Physics; Porous medium; Geometry; Materials science","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":[0.0007663979,0.0006546617,0.0005108538,0.0003961429,0.0003661027,0.000681947,0.0007943067,0.001177012,0.001147824],"category_scores_gemma":[0.001522124,0.000329153,0.0006166394,0.0002349323,0.001017225,0.00065872,0.001240586,0.0009316679,0.0002081979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000503541,"about_ca_system_score_gemma":0.0008015182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413574,"about_ca_topic_score_gemma":0.0009392299,"domain_scores_codex":[0.9996711,0.0001119721,0.00001293171,0.000049801,0.0001358075,0.00001827016],"domain_scores_gemma":[0.9996005,0.0002084841,0.00003776644,0.000034221,0.00008239852,0.00003672165],"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":[0.0000626297,0.00006012204,0.0009385227,0.0001238523,0.00002783338,0.000151977,0.0001464504,0.8851835,0.02626786,0.06450938,0.0003239676,0.02220387],"study_design_scores_gemma":[0.000004518024,0.00001551599,0.00003887183,0.000004334276,0.000002534996,0.0000154119,0.000006508014,0.9952868,0.001358464,0.002688247,0.0005744286,0.000004323509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0199056,0.00005843261,0.9780576,0.000111073,0.00003146199,0.00003551246,0.00002523206,0.00005134671,0.001723858],"genre_scores_gemma":[0.4276614,0.0001260845,0.5686401,0.00009696322,0.00003471865,0.0002147254,0.00009199663,0.0001017582,0.003032437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001413574,"threshold_uncertainty_score":0.004053116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0922692357132744,"score_gpt":0.2335815737339349,"score_spread":0.1413123380206605,"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."}}