{"id":"W4410938376","doi":"10.1016/j.cam.2025.116798","title":"A local parallel fully mixed finite element method for superposed fluid and porous layers","year":2025,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Science Basic Research Program of Shaanxi Province; Shaanxi Province Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Mathematics; Finite element method; Porous medium; Porosity; Mathematical analysis; Element (criminal law); Applied mathematics; Calculus (dental); Composite material; Materials science; Structural engineering","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":[0.0006759475,0.000661799,0.001016319,0.0005161862,0.0005752487,0.0009773714,0.002339689,0.001717396,0.00449336],"category_scores_gemma":[0.001194338,0.0005988334,0.0007721507,0.0004484344,0.0007675238,0.001355295,0.002198744,0.001136737,0.0008841088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003715947,"about_ca_system_score_gemma":0.001071377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002023336,"about_ca_topic_score_gemma":0.002840255,"domain_scores_codex":[0.9997464,0.00007465848,0.00001455738,0.00003254447,0.0001114267,0.00002048686],"domain_scores_gemma":[0.999536,0.0001628067,0.00004412319,0.00005853171,0.0001476311,0.00005092555],"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":[0.0002523347,0.0002095047,0.0008687802,0.0002985031,0.00009076369,0.0002711378,0.0001711908,0.8560681,0.02485585,0.03692443,0.002324595,0.07766475],"study_design_scores_gemma":[0.000008420521,0.00001458263,0.00002843849,0.000004894412,0.000003820798,0.00001993173,0.000006335386,0.9973301,0.0007552061,0.001048747,0.0007740559,0.000005547999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01040847,0.0001070661,0.9853195,0.0001001415,0.00008099575,0.0000652382,0.00007248914,0.0003036928,0.00354245],"genre_scores_gemma":[0.2271134,0.0002154063,0.759132,0.0002583056,0.00008087948,0.0003992129,0.0002975675,0.0004746534,0.01202861],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00449336,"threshold_uncertainty_score":0.01503175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731645679777668,"score_gpt":0.2977961519602751,"score_spread":0.2804796951624984,"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."}}