{"id":"W2324078391","doi":"10.2514/6.2001-4012","title":"Beechjet flight test data gathering and Level-D simulator aerodynamic mathematical model development","year":2001,"lang":"en","type":"article","venue":"AIAA Atmospheric Flight Mechanics Conference and Exhibit","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Aerodynamics; Computer science; Simulation; Flight simulator; Data modeling; Flight test; Atmospheric model; Aerospace engineering; Engineering; Meteorology; Database; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003840064,0.0005624949,0.0004697819,0.0009794846,0.0005887359,0.0006366658,0.0008368978,0.0005275428,0.01008289],"category_scores_gemma":[0.001297137,0.0004700116,0.0004023784,0.0005535539,0.0002165247,0.0006182136,0.0005388116,0.0007508157,0.001686862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000380103,"about_ca_system_score_gemma":0.001110903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00473327,"about_ca_topic_score_gemma":0.005856634,"domain_scores_codex":[0.9997241,0.00002450947,0.00002225165,0.0000307997,0.0001679798,0.00003022144],"domain_scores_gemma":[0.9993895,0.0001420219,0.00003914617,0.0001115021,0.000286466,0.00003124116],"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":[0.0006037625,0.0005172912,0.01464726,0.0002681662,0.000097165,0.0004477177,0.0002350565,0.782526,0.05180638,0.003737655,0.0147108,0.1304028],"study_design_scores_gemma":[0.0001641585,0.0003127367,0.01060366,0.00001511897,0.0000247415,0.00009005691,0.00007140616,0.9288871,0.04939405,0.001176606,0.009211578,0.00004892696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4201746,0.0001164212,0.4957585,0.0003226295,0.0002328576,0.001616867,0.01352346,0.01897725,0.04927754],"genre_scores_gemma":[0.8896497,0.00008317727,0.09070405,0.0001059589,0.00002003259,0.001050578,0.009935044,0.0007942946,0.007657172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01008289,"threshold_uncertainty_score":0.03373069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0374939583363239,"score_gpt":0.2255735520358413,"score_spread":0.1880795936995174,"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."}}