{"id":"W4400431242","doi":"10.1007/s10915-024-02607-0","title":"A Combined Mixed Hybrid and Hybridizable Discontinuous Galerkin Method for Darcy Flow and Transport","year":2024,"lang":"en","type":"article","venue":"Journal of Scientific Computing","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Discontinuous Galerkin method; Darcy's law; Flow (mathematics); Galerkin method; Mathematical analysis; Applied mathematics; Porous medium; Finite element method; Geometry; Porosity; Geotechnical engineering; Physics; Thermodynamics; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001832024,0.0001412345,0.0003330616,0.0002097387,0.0001395355,0.0002895125,0.0001217944,0.00002206469,0.000003160977],"category_scores_gemma":[0.0001940516,0.0001236267,0.00009047901,0.0002653885,0.000089963,0.0002720939,0.00003388201,0.0002078097,4.876952e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003653151,"about_ca_system_score_gemma":0.00003276332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.899822e-7,"about_ca_topic_score_gemma":1.845796e-7,"domain_scores_codex":[0.9987652,0.00003913089,0.0005425797,0.0002040524,0.0002357963,0.0002132326],"domain_scores_gemma":[0.9982047,0.00137445,0.00009807922,0.00008851539,0.0001215566,0.0001127051],"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":[0.00003240032,0.00004947028,0.00007626718,0.00154097,0.0001817166,0.0001015092,0.0009719043,0.2930647,0.01112175,0.001996061,0.001443684,0.6894196],"study_design_scores_gemma":[0.0003031536,0.00006324612,0.0001276784,0.0003711742,0.00005208887,0.0003232386,0.000069711,0.9629825,0.001856019,0.03115134,0.002563711,0.0001361778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1545905,0.001058037,0.8421878,0.00008326743,0.001828038,0.0001281575,0.00001399307,0.00006696905,0.00004325832],"genre_scores_gemma":[0.3677653,0.000007952501,0.6320358,0.000006004473,0.0001081163,0.000001031795,0.000001738631,0.00002158376,0.00005249626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6892834,"threshold_uncertainty_score":0.5041348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175871426285341,"score_gpt":0.2996219962160301,"score_spread":0.282034853587496,"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."}}