{"id":"W4390870101","doi":"10.1016/j.cam.2025.116665","title":"Finite element analysis of a pseudostress–pressure–velocity formulation of the stationary Navier–Stokes equations","year":2025,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Moncton","funders":"","keywords":"Navier–Stokes equations; Finite element method; Mechanics; Physics; Mathematics; Mathematical analysis; Thermodynamics; Compressibility","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":[0.0007130916,0.0004942427,0.0007855517,0.0006172266,0.0003563053,0.00101894,0.001076637,0.001348056,0.001312645],"category_scores_gemma":[0.001623397,0.0004388602,0.0006430219,0.0003825976,0.001235419,0.0008287916,0.001137865,0.0008146542,0.000290374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003933895,"about_ca_system_score_gemma":0.0009555275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002391675,"about_ca_topic_score_gemma":0.001515504,"domain_scores_codex":[0.9996251,0.0001405645,0.00001885118,0.00003858317,0.0001433503,0.00003350713],"domain_scores_gemma":[0.9995516,0.0002079853,0.00006340642,0.00004010756,0.0001037701,0.00003309996],"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":[0.00006819107,0.00006736224,0.001047599,0.0001035056,0.00003998094,0.0001324006,0.0001284814,0.9182714,0.01076352,0.06097752,0.0004328971,0.007967084],"study_design_scores_gemma":[0.000002397383,0.00001145,0.00006895907,0.000005146193,0.000002129399,0.00001107891,0.000009066172,0.9977201,0.0003863647,0.001452904,0.0003268999,0.000003543105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1385103,0.0004725124,0.8484854,0.000487427,0.0001441454,0.00007840286,0.0001193375,0.0001044499,0.01159795],"genre_scores_gemma":[0.8500294,0.0003999495,0.1400614,0.0001313714,0.0001025288,0.0002165771,0.0002035624,0.00009755796,0.008757672],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002391675,"threshold_uncertainty_score":0.004755557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919440316630064,"score_gpt":0.2973803213859917,"score_spread":0.2781859182196911,"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."}}