{"id":"W1960653296","doi":"10.1017/s0001924000005789","title":"New helicopter model identification method based on flight test data","year":2011,"lang":"en","type":"article","venue":"The Aeronautical Journal","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Artificial neural network; Fuzzy logic; Identification (biology); SIGNAL (programming language); Aviation; System identification; Computer science; Simulation; Engineering; Algorithm; Control engineering; Control (management); Artificial intelligence; Data mining; Aerospace 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":[0.0002898769,0.0006840273,0.0004326853,0.0007118997,0.000284372,0.0005368579,0.0004270145,0.0004254133,0.003117573],"category_scores_gemma":[0.001034912,0.000185236,0.0002641635,0.0002142975,0.000131968,0.0004075395,0.0002755385,0.0003477495,0.0008596764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000254599,"about_ca_system_score_gemma":0.0003581189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006133201,"about_ca_topic_score_gemma":0.003464377,"domain_scores_codex":[0.9998292,0.00003828796,0.00001278017,0.00004828098,0.00005562987,0.00001582276],"domain_scores_gemma":[0.9996406,0.0001026486,0.00004329815,0.00004024095,0.0001606658,0.00001263084],"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":[0.0004611763,0.0001841238,0.007110785,0.0003701496,0.0001419858,0.0004635641,0.0003388922,0.4622759,0.0846029,0.001637514,0.002177801,0.4402352],"study_design_scores_gemma":[0.00001709624,0.00007212387,0.001866995,0.00001223112,0.00001480971,0.00006298398,0.00002490189,0.9898251,0.006954568,0.0002439714,0.0008926343,0.00001254076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1025391,0.0001233429,0.8894827,0.00004778734,0.00003551111,0.0001681425,0.0002839138,0.003890322,0.003429192],"genre_scores_gemma":[0.9078891,0.00006849172,0.0880369,0.00002222791,0.000009381501,0.0002637914,0.0005479912,0.00007197021,0.00309009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006133201,"threshold_uncertainty_score":0.01219499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331084769316611,"score_gpt":0.2807408283043049,"score_spread":0.2174299806111387,"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."}}