{"id":"W1988990287","doi":"10.12989/was.2013.17.1.001","title":"Multiscale finite element method applied to detached-eddy simulation for computational wind engineering","year":2013,"lang":"en","type":"article","venue":"Wind and Structures","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Turbulence; Discretization; Large eddy simulation; Finite element method; Mechanics; Detached eddy simulation; Scalar (mathematics); Galerkin method; Computation; Meteorology; Physics; Mathematics; Engineering; Geometry; Reynolds-averaged Navier–Stokes equations; Mathematical analysis; Structural engineering; Algorithm","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":[0.0004411797,0.0003510447,0.0005125001,0.0003488869,0.0002932134,0.0003637972,0.0006440808,0.0005714486,0.001990191],"category_scores_gemma":[0.0009917401,0.0002854967,0.0005754015,0.0003430764,0.0002919732,0.0003557907,0.00084206,0.0007585099,0.0005331793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002256664,"about_ca_system_score_gemma":0.0005832462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137614,"about_ca_topic_score_gemma":0.001475498,"domain_scores_codex":[0.9998202,0.00005664535,0.0000120521,0.00001899515,0.00008013059,0.00001202386],"domain_scores_gemma":[0.9997309,0.0001152442,0.00002045995,0.00003714101,0.00007389014,0.00002234162],"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":[0.00007685668,0.0001128115,0.001964468,0.0001583296,0.00008849305,0.0001940085,0.0001611837,0.8066858,0.05046037,0.04521955,0.002444437,0.09243374],"study_design_scores_gemma":[0.000005687784,0.00001405543,0.0001138488,0.000004807268,0.000003325961,0.00001787671,0.000003639175,0.9952835,0.001121016,0.001406165,0.002022031,0.000004012664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009128433,0.0001140249,0.987739,0.0000684047,0.00007010492,0.00005084977,0.00007657179,0.0004298672,0.002322769],"genre_scores_gemma":[0.2030267,0.0001979286,0.7931562,0.00006586377,0.00002835917,0.0003935374,0.000233417,0.0001918511,0.002706149],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001990191,"threshold_uncertainty_score":0.006657898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877563813041007,"score_gpt":0.3088156996092905,"score_spread":0.2900400614788805,"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."}}