{"id":"W1567436598","doi":"10.1007/3-540-56394-6_277","title":"A second order method for the finite element solution of the Euler and Navier-Stokes equations","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in physics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Order (exchange); Finite element method; Euler's formula; Euler equations; Mathematics; Mathematical analysis; Applied mathematics; Element (criminal law); Backward Euler method; Physics; Political science; Thermodynamics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001392261,0.0002236843,0.000283578,0.00002960115,0.00008828442,0.000008199938,0.0001600202,0.0001289813,0.00001870781],"category_scores_gemma":[0.0005141949,0.0001488641,0.0001015232,0.00009624306,0.00009545574,0.00003278598,0.00005940642,0.0003834731,9.672729e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006014718,"about_ca_system_score_gemma":0.00002675927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.948837e-7,"about_ca_topic_score_gemma":0.000009037731,"domain_scores_codex":[0.9991984,0.00002791734,0.0003046975,0.0001533393,0.0001811684,0.0001345291],"domain_scores_gemma":[0.9906617,0.008810754,0.0001469374,0.0002611883,0.0001039884,0.00001538265],"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":[0.000003449383,0.000008156392,7.244368e-7,0.0001934337,0.00007877064,1.287531e-7,0.0005158113,0.8029776,0.00009960139,0.02006989,0.00004402419,0.1760084],"study_design_scores_gemma":[0.000106602,0.00001382734,0.00000401858,0.00009018309,0.00004839343,0.000001304541,0.000001315202,0.5055995,0.0006945186,0.4847239,0.008588498,0.0001279514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000002488931,0.001239557,0.9959434,0.0001300425,0.0002820312,0.0005245578,0.00007944605,0.00002626903,0.0017722],"genre_scores_gemma":[0.004786777,0.0001944675,0.9939608,0.0001704356,0.0003074026,0.00008422241,0.0000173177,0.00008503571,0.0003935577],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.464654,"threshold_uncertainty_score":0.6070501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03698766043826858,"score_gpt":0.3046838170977076,"score_spread":0.2676961566594391,"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."}}