{"id":"W2020210343","doi":"10.2514/1.21900","title":"Effect of Simulator Motion on Pilot Behavior and Perception","year":2006,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fidelity; Yaw; Flight simulator; Motion (physics); Simulation; Computer science; Task (project management); Driving simulator; Workload; Motion simulator; Motion capture; Engineering; Artificial intelligence; Automotive engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006141888,0.0006168293,0.0002805387,0.0002555758,0.0001544881,0.0003902558,0.0002425277,0.0003843921,0.001835577],"category_scores_gemma":[0.007409187,0.0002945019,0.0002710564,0.00006809863,0.0002746602,0.0002603852,0.000549908,0.0003734108,0.0001902164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001780635,"about_ca_system_score_gemma":0.0002204859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019797,"about_ca_topic_score_gemma":0.0009405485,"domain_scores_codex":[0.9994631,0.0002154215,0.00004741415,0.00007188255,0.000123225,0.0000789385],"domain_scores_gemma":[0.9962432,0.002621736,0.0003363584,0.0002665337,0.0002455194,0.0002867414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01467157,0.002174316,0.05233824,0.0003932805,0.0003233735,0.0003360044,0.002413189,0.00826377,0.8720481,0.00009727442,0.0003835513,0.04655728],"study_design_scores_gemma":[0.0007523701,0.06540793,0.7281295,0.0000783578,0.0003328695,0.0006957596,0.001315976,0.01885771,0.1816285,0.0002950226,0.002342072,0.0001639333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984522,0.00002943371,0.001155067,0.00001287122,0.000006985767,0.00002441677,0.00004405736,0.00003014763,0.0002446904],"genre_scores_gemma":[0.997986,0.00005113411,0.001308491,0.00003541142,0.000006465445,0.00005219632,0.000171643,0.00001676042,0.0003720518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001835577,"threshold_uncertainty_score":0.006140649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003860950017728766,"score_gpt":0.2185075009111274,"score_spread":0.2146465508933986,"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."}}