{"id":"W3096424994","doi":"10.1007/s10915-020-01329-3","title":"Spectral Properties of High-Order Element Types for Implicit Large Eddy Simulation","year":2020,"lang":"en","type":"article","venue":"Journal of Scientific Computing","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Large eddy simulation; Order (exchange); Element (criminal law); Finite element method; Spectral element method; Eddy current; Mechanics; Extended finite element method; Turbulence; Structural engineering; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001685263,0.0004557966,0.0004716406,0.0007932418,0.0004830677,0.001254803,0.0008792262,0.000992406,0.002652792],"category_scores_gemma":[0.008794953,0.000289786,0.0004699164,0.0007060442,0.0007832663,0.001158427,0.0007853074,0.001100876,0.0009779657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004736084,"about_ca_system_score_gemma":0.0006384358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309097,"about_ca_topic_score_gemma":0.001163214,"domain_scores_codex":[0.9991779,0.000284222,0.00005185001,0.00003024603,0.0004118125,0.00004407223],"domain_scores_gemma":[0.9947003,0.003488634,0.0002930115,0.0005492562,0.0008498329,0.0001189082],"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":[0.0001366027,0.0001789543,0.003710787,0.0002282894,0.00003171255,0.00008992419,0.0003471268,0.8315868,0.01942381,0.0822106,0.001038547,0.06101691],"study_design_scores_gemma":[0.000004678519,0.00002023196,0.0001775644,0.00001635141,0.000001748482,0.00001797792,0.00002116516,0.9908713,0.00170184,0.005920527,0.00124015,0.000006589664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0396944,0.0002913285,0.9542976,0.0001621461,0.00007597874,0.0000889508,0.0001236051,0.0004784982,0.004787502],"genre_scores_gemma":[0.5417604,0.0004540222,0.4526491,0.00009883927,0.00004554411,0.0003815209,0.0003780353,0.0004231562,0.00380932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002652792,"threshold_uncertainty_score":0.008912623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658563164527093,"score_gpt":0.2269500823951117,"score_spread":0.2103644507498408,"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."}}