{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002758158,0.00004748795,0.00009582096,0.00008731682,0.00003563757,0.00000873728,0.00003878597,0.00003590835,0.000001520125],"category_scores_gemma":[0.000009087739,0.00003834659,0.000008124798,0.00008322409,0.00001272948,0.0001483257,0.000006067312,0.00003998839,0.00000202252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026569,"about_ca_system_score_gemma":0.00001365903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006452394,"about_ca_topic_score_gemma":0.000004105135,"domain_scores_codex":[0.9995917,0.00001857787,0.0002192189,0.00002805326,0.0000990413,0.00004339061],"domain_scores_gemma":[0.9996629,0.00002155618,0.0001755883,0.00004088879,0.00006353066,0.00003557928],"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":[0.0001996705,0.00006228068,0.01806567,0.0009853035,0.000489386,0.00000398085,0.04613204,0.5616751,0.2682457,0.01169697,0.001817328,0.0906266],"study_design_scores_gemma":[0.001506983,0.00007340613,0.00812344,0.0001018003,0.00004085234,0.0001105273,0.01077777,0.9126694,0.05353773,0.00002046023,0.01289835,0.0001393332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786398,0.0001631468,0.02079811,0.00006184447,0.0001004506,0.00009151979,9.459434e-7,0.00003578495,0.0001084249],"genre_scores_gemma":[0.9992771,0.00004729933,0.0006110062,0.000003529407,0.000009988111,5.679894e-7,0.000001803811,0.000004144047,0.00004453158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3509943,"threshold_uncertainty_score":0.1563729,"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."}}