{"id":"W4382052305","doi":"10.4050/f-0079-2023-18119","title":"Integrated Reality In-flight Simulation (IRIS): The Developmental Challenges","year":2023,"lang":"en","type":"article","venue":"","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Virtual reality; Flight simulator; Aeronautics; Simulation; Headset; Flight test; Engineering; Computer science; Aerospace engineering; Systems engineering; Human–computer interaction","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":[0.01924415,0.001215144,0.0009580891,0.001456048,0.0008211843,0.005153486,0.006370645,0.003023448,0.007179811],"category_scores_gemma":[0.02116806,0.0009133305,0.0008080621,0.001101124,0.002700646,0.004374,0.003610866,0.003526898,0.002878696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002372602,"about_ca_system_score_gemma":0.0104917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04017313,"about_ca_topic_score_gemma":0.0312634,"domain_scores_codex":[0.9957868,0.001715,0.0001920872,0.0003434196,0.001710855,0.000251895],"domain_scores_gemma":[0.9723656,0.01255185,0.0005915427,0.002175062,0.009996598,0.002319263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003039483,0.0007974409,0.007541516,0.001721464,0.0001182692,0.0001586419,0.002007319,0.03629006,0.007168417,0.1193551,0.02986055,0.7946772],"study_design_scores_gemma":[0.0002244083,0.002499914,0.01065581,0.003770645,0.0001661297,0.001398108,0.006373498,0.2311984,0.01223143,0.07909982,0.6518989,0.0004830156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05975628,0.05410076,0.7260979,0.07511695,0.002635505,0.0007371177,0.002206938,0.005058057,0.07429045],"genre_scores_gemma":[0.2188662,0.04272424,0.7209029,0.002155288,0.0006439752,0.000758917,0.002371286,0.0007245457,0.01085265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04017313,"threshold_uncertainty_score":0.101774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0414788025618347,"score_gpt":0.2572349798710656,"score_spread":0.2157561773092309,"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."}}