{"id":"W2318404392","doi":"10.2514/6.2003-1577","title":"Aerodynamic Forces Approximation for Aeroservoelastic Models","year":2003,"lang":"en","type":"article","venue":"44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Aerodynamics; Aerodynamic force; Computer science; Aeroelasticity; Control theory (sociology); Aerospace engineering; Engineering; Artificial intelligence","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":[0.0003270463,0.0005968875,0.0007167315,0.0006160103,0.000572778,0.0008988442,0.001216312,0.001017348,0.003608105],"category_scores_gemma":[0.001544227,0.0003750549,0.0006500899,0.0003553454,0.0005285927,0.0009174013,0.00101222,0.001092885,0.001109708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006524881,"about_ca_system_score_gemma":0.0004125744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041863,"about_ca_topic_score_gemma":0.009054913,"domain_scores_codex":[0.999831,0.00004813927,0.0000070182,0.00001641752,0.00007284447,0.00002455712],"domain_scores_gemma":[0.9997221,0.00007723985,0.00003474666,0.0000566693,0.00007001637,0.00003911097],"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":[0.00004594748,0.00005286248,0.000523753,0.00005355655,0.0000404558,0.0001845346,0.0000614752,0.7925851,0.00191567,0.1877971,0.003862961,0.0128765],"study_design_scores_gemma":[0.000003255695,0.000002306622,0.00005424083,0.000003565567,0.00000172522,0.000008160288,0.000004034841,0.9867432,0.00007447588,0.01204396,0.001059287,0.000001828402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05836655,0.002124919,0.8244354,0.00123332,0.0005917104,0.00007954751,0.0004512195,0.000662332,0.1120551],"genre_scores_gemma":[0.8780044,0.001226051,0.06293305,0.0003526738,0.0004748053,0.0001386635,0.0007257732,0.0004470553,0.05569756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01041863,"threshold_uncertainty_score":0.02071595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071939681665055,"score_gpt":0.2020747472849651,"score_spread":0.1913553504683146,"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."}}