{"id":"W2146573751","doi":"10.1177/003754970007500201","title":"Simulation of Aircraft Pilot Flight Controls Using Nonlinear System Identification","year":2000,"lang":"en","type":"article","venue":"SIMULATION","topic":"Control Systems and Identification","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Computer science; Aviation; System identification; Nonlinear system; Flight simulator; Cascade; Control engineering; Flight test; Control (management); Control system; Simulation; Engineering; Data modeling; Aerospace engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003167369,0.0003559537,0.0003025324,0.0002256854,0.0002634475,0.0004074537,0.0003955024,0.0004970299,0.002258781],"category_scores_gemma":[0.00107121,0.0001671295,0.0002994124,0.0001255345,0.0003935754,0.0003952851,0.0003995713,0.0004450567,0.0002124522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220287,"about_ca_system_score_gemma":0.0004990484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108826,"about_ca_topic_score_gemma":0.004684648,"domain_scores_codex":[0.999831,0.00006026035,0.000008003548,0.00001786944,0.00005890283,0.00002397396],"domain_scores_gemma":[0.9996153,0.0002523506,0.0000344281,0.00003023654,0.00005599829,0.0000116855],"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":[0.0000356153,0.00001644717,0.0004000152,0.00001710917,0.000004990013,0.00002454667,0.0000326562,0.9952855,0.0009674841,0.001224911,0.00007053525,0.001920285],"study_design_scores_gemma":[0.000004761266,0.00001310006,0.00009655595,0.000001186816,0.000001022366,0.000002985283,0.000004565774,0.9991547,0.000390468,0.0001946348,0.0001344535,0.000001544732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5095452,0.0002095929,0.4590916,0.0002927346,0.0000649674,0.0002025353,0.0003342286,0.001200118,0.0290589],"genre_scores_gemma":[0.9824331,0.00008990112,0.01466799,0.0000142867,0.000005293228,0.0001085425,0.0001101423,0.00002097051,0.002549845],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01108826,"threshold_uncertainty_score":0.0220474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800467324232948,"score_gpt":0.2515610479887568,"score_spread":0.2335563747464273,"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."}}