{"id":"W2319501678","doi":"10.2514/6.2008-2180","title":"Aeroelastic Response of an Idealized Airfoil to Blade-Vortex Interaction: A CFD Approach Using Large Eddy Simulation","year":2008,"lang":"en","type":"article","venue":"","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Airfoil; Aeroelasticity; Computational fluid dynamics; Blade (archaeology); Vortex; Large eddy simulation; Mechanics; Aerodynamics; Physics; Computer science; Engineering; Turbulence; Mechanical 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":[0.0002740567,0.0003608926,0.000677201,0.0003448693,0.0007136902,0.0007151677,0.0005342059,0.0008847417,0.001385532],"category_scores_gemma":[0.001139733,0.0002845689,0.0004636317,0.0002490967,0.0007323191,0.0005604498,0.0004299476,0.0005274548,0.0001408785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005646613,"about_ca_system_score_gemma":0.0006464891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007997348,"about_ca_topic_score_gemma":0.002864156,"domain_scores_codex":[0.9998688,0.00003340808,0.000007545428,0.00002216915,0.00003733009,0.00003081097],"domain_scores_gemma":[0.9996475,0.0001741134,0.00003037303,0.00003794233,0.00006707878,0.00004300438],"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":[0.0002626041,0.000127303,0.001750771,0.00003644991,0.00002579318,0.0002425196,0.00005998465,0.9643251,0.0275691,0.001887111,0.0002802084,0.003433033],"study_design_scores_gemma":[0.00001209953,0.0000200788,0.0004970582,0.000001185345,0.000002518574,0.00001120414,0.000008635348,0.9972796,0.00195632,0.0001392834,0.00006677715,0.00000518749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532477,0.0002203971,0.03669828,0.000177165,0.00008603762,0.00004900626,0.0001140235,0.0002674652,0.009139924],"genre_scores_gemma":[0.9963652,0.00003801424,0.002412971,0.00001743992,0.000008330432,0.00001159103,0.00004455909,0.0000268168,0.001075127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007997348,"threshold_uncertainty_score":0.01590157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396200199237715,"score_gpt":0.2661952402311191,"score_spread":0.242233238238742,"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."}}