{"id":"W2905661954","doi":"10.1016/j.cam.2018.12.025","title":"A Crank–Nicolson discontinuous finite volume element method for a coupled non-stationary Stokes–Darcy problem","year":2018,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Mathematics; Discretization; Backward Euler method; Crank–Nicolson method; Finite element method; Finite volume method; Darcy's law; Stokes flow; Piecewise; Applied mathematics; Norm (philosophy); Numerical analysis; Mathematical analysis; Flow (mathematics); Mathematical optimization; Porous medium; Geometry; Mechanics; Porosity","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":[0.0008216563,0.0006107599,0.001187663,0.0007182207,0.0007644555,0.001036925,0.00258892,0.002784817,0.004622329],"category_scores_gemma":[0.001809455,0.0006183072,0.0007382375,0.0005654842,0.001388587,0.0008413294,0.002036268,0.001785661,0.0008342643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005733092,"about_ca_system_score_gemma":0.001828008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004393578,"about_ca_topic_score_gemma":0.004197163,"domain_scores_codex":[0.9996499,0.00009973176,0.00001888256,0.00004953393,0.0001511731,0.00003079148],"domain_scores_gemma":[0.9993494,0.0002900767,0.00004332808,0.00006063336,0.0001815189,0.0000749125],"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":[0.0002360121,0.0003139539,0.001059326,0.0003936611,0.00008778858,0.0003753207,0.0003511262,0.8007785,0.02292817,0.09692267,0.003357828,0.07319571],"study_design_scores_gemma":[0.00001590802,0.00001542232,0.00004257918,0.000009994292,0.000005608621,0.00002182292,0.00001016105,0.995638,0.0007190611,0.001746834,0.001765489,0.00000915843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01675117,0.0002380094,0.9748281,0.0002943453,0.0002355063,0.0001287679,0.00006967006,0.0001610116,0.007293385],"genre_scores_gemma":[0.2506408,0.0003553898,0.7323225,0.0003007327,0.0001659043,0.0005793216,0.0002175124,0.0003491916,0.01506855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004622329,"threshold_uncertainty_score":0.01546329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680719528434525,"score_gpt":0.3036158097675624,"score_spread":0.2868086144832171,"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."}}