{"id":"W2225142749","doi":"10.21535/jias.v2i1.191","title":"Development and Application of a Reconfigurable Engineering Flight Simulator at Ryerson University","year":2015,"lang":"en","type":"article","venue":"The Journal of Instrumentation Automation and Systems","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flight simulator; Cockpit; Flight management system; Simulation; Software; Flight training; Engineering; Overhead (engineering); Fly-by-wire; Computer science; Systems engineering; Aerospace engineering; Operating system","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":[0.0007558417,0.0003605417,0.0002234894,0.0004771379,0.0002144027,0.0003944231,0.0007701247,0.0002477751,0.00393914],"category_scores_gemma":[0.00111691,0.0002661587,0.0003348588,0.0001897259,0.000181859,0.0004420925,0.0005731496,0.0004385735,0.001160452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004121104,"about_ca_system_score_gemma":0.001237144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003032172,"about_ca_topic_score_gemma":0.003697612,"domain_scores_codex":[0.9996467,0.00007925385,0.00002465781,0.00004690596,0.0001636453,0.00003888592],"domain_scores_gemma":[0.9993629,0.0001289852,0.00003595884,0.0001249641,0.0002550865,0.00009208738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005533584,0.0007593484,0.01977267,0.0004188696,0.00009772764,0.001034705,0.001519857,0.1221195,0.2951859,0.008323601,0.009954741,0.5402596],"study_design_scores_gemma":[0.0003080779,0.003359063,0.02773128,0.0002003493,0.0001344393,0.001673775,0.0007094117,0.4481262,0.290154,0.001201594,0.2262016,0.0002003679],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4141897,0.0003003251,0.5441877,0.0002772554,0.0001095822,0.001579655,0.0009222591,0.01001684,0.02841668],"genre_scores_gemma":[0.5133471,0.0004647345,0.467804,0.00007383327,0.00001635022,0.0005816299,0.001501245,0.0006312847,0.01557982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00393914,"threshold_uncertainty_score":0.01317775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068751382180585,"score_gpt":0.1938147329823808,"score_spread":0.1831272191605749,"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."}}