{"id":"W4391449499","doi":"10.1007/s00466-023-02436-2","title":"Fluid–structure interaction modeling with nonmatching interface discretizations for compressible flow problems: simulating aircraft tail buffeting","year":2024,"lang":"en","type":"article","venue":"Computational Mechanics","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Naval Air Warfare Center, Weapons Division","keywords":"Aeroelasticity; Computational Science and Engineering; Compressible flow; Compressibility; Fluid–structure interaction; Computational fluid dynamics; Physics; Flow (mathematics); Mechanics; Fluid dynamics; Interface (matter); Aerospace engineering; Classical mechanics; Computer science; Applied mathematics; Aerodynamics; Finite element method; Mathematics; Engineering; Thermodynamics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000134011,0.000275724,0.0002094582,0.0001830403,0.0002496213,0.0003431528,0.0001516319,0.00008566328,0.00001416395],"category_scores_gemma":[0.00003336475,0.0002697823,0.00008421911,0.0003284594,0.000009643966,0.0004069439,0.00006010355,0.0002908941,0.000005550386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001957459,"about_ca_system_score_gemma":0.00006698871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000470843,"about_ca_topic_score_gemma":0.00002723005,"domain_scores_codex":[0.9986448,0.00002033597,0.000424559,0.0003601194,0.0002810389,0.0002690978],"domain_scores_gemma":[0.9991184,0.0004188617,0.00004248842,0.0001151676,0.0002333704,0.00007168558],"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":[0.00001034158,0.00001109148,0.000003320023,0.0003797612,0.00009032707,0.000001743221,0.00047884,0.9694943,0.001470618,0.02522576,0.00003183201,0.002802087],"study_design_scores_gemma":[0.0002470925,0.0000409188,0.00000221272,0.0006406088,0.00003891964,0.00002637818,0.0001261626,0.9523411,0.00003825655,0.04608861,0.0001004885,0.0003092249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05900704,0.0003413633,0.9384789,0.0001277102,0.000789884,0.0004257291,0.0001805134,0.0005998389,0.00004905716],"genre_scores_gemma":[0.8298574,0.000006708387,0.1691737,0.00002407156,0.0001573757,0.00003440226,0.0006391397,0.00009472024,0.00001249893],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7708504,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009078893490844,"score_gpt":0.2419229607860469,"score_spread":0.2318321718511385,"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."}}