{"id":"W60841607","doi":"","title":"Method based on Chebyshev polynomials theories for aeroservoelastic interactions studies on a F/A-18 aircraft","year":2006,"lang":"en","type":"article","venue":"","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Chebyshev polynomials; Mathematics; Orthogonality; Flutter; Padé approximant; Laplace transform; Mathematical analysis; Applied mathematics; Square (algebra); Aerodynamics; Frequency domain; Domain (mathematical analysis); Geometry; Physics","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":[0.0001903042,0.0001979812,0.0002594825,0.0001106257,0.0001514409,0.00005013591,0.00008106059,0.00005563942,0.0002107379],"category_scores_gemma":[0.0002514775,0.0001639615,0.0001114502,0.0001061977,0.00002823631,0.0001182209,0.00000871736,0.000118856,0.00007170362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000785434,"about_ca_system_score_gemma":0.00001739707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009195877,"about_ca_topic_score_gemma":0.0001660389,"domain_scores_codex":[0.9991506,0.00004510231,0.0003000626,0.0001845124,0.0001080883,0.0002115849],"domain_scores_gemma":[0.9972677,0.002423523,0.00003902713,0.0001617709,0.0000690728,0.00003888002],"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":[0.0001395625,0.00008079105,0.00002205401,0.00005419249,0.00008813724,7.266235e-7,0.00009902887,0.9355372,0.004243315,0.04690972,0.01216265,0.0006626213],"study_design_scores_gemma":[0.001334405,0.000327494,0.0002662058,0.00008129994,0.00008158643,0.000001063733,0.0003485487,0.9274868,0.05889222,0.004481825,0.006371025,0.0003275369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005090932,0.00003939892,0.9826158,0.0006595951,0.0008085965,0.0003756285,0.0000416514,0.0004645052,0.009903943],"genre_scores_gemma":[0.9749529,0.000001921064,0.02233325,0.0006016617,0.0004021898,0.0002409563,0.00001567232,0.00003434389,0.001417103],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.969862,"threshold_uncertainty_score":0.6686155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760330826265343,"score_gpt":0.31016895418954,"score_spread":0.2825656459268866,"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."}}