{"id":"W2105940130","doi":"10.1177/1077546307081315","title":"Aeroservoelasticity Analysis Method Based on an Error Analytical Form Applied on a Business Aircraft","year":2008,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada); École de Technologie Supérieure","funders":"","keywords":"Aeroelasticity; Aerodynamics; Aerodynamic force; Flutter; Laplace transform; Mathematics; Control theory (sociology); Structural engineering; Computer science; Physics; Mechanics; Mathematical analysis; 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":[0.0004029309,0.000391481,0.0004345209,0.0005777442,0.0003525406,0.000498882,0.0004976599,0.0004847035,0.001543548],"category_scores_gemma":[0.001562218,0.0001550391,0.0003764573,0.0003892465,0.0003369731,0.0004993784,0.0003938389,0.000658447,0.0004084763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002529453,"about_ca_system_score_gemma":0.0005614073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002513701,"about_ca_topic_score_gemma":0.001515819,"domain_scores_codex":[0.9995646,0.00006455544,0.00001632603,0.00006155225,0.0002746356,0.00001825267],"domain_scores_gemma":[0.9993613,0.0002520546,0.00006375211,0.00006287391,0.0002437128,0.00001630154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000211792,0.0001210783,0.003820254,0.0003540681,0.00007621444,0.0003180694,0.0004080537,0.3950173,0.1175454,0.0478851,0.002570598,0.4316721],"study_design_scores_gemma":[0.000007962551,0.00004266473,0.0005226452,0.000007738455,0.000006143424,0.00009993436,0.00002011662,0.9853359,0.01020515,0.00145818,0.00228172,0.00001182165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01158044,0.00007004635,0.9866785,0.00004184565,0.00003105222,0.00001713197,0.00001497297,0.0001901439,0.001375849],"genre_scores_gemma":[0.5009908,0.0002901455,0.4910641,0.00006710598,0.00005237795,0.0001297569,0.0001061314,0.000165213,0.007134303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002513701,"threshold_uncertainty_score":0.00516367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506681175180387,"score_gpt":0.2487989791184496,"score_spread":0.2337321673666458,"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."}}