{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001093649,0.00005683596,0.00005734836,0.00006625091,0.00002544051,0.000006388521,0.00007178368,0.00006509664,0.00005166249],"category_scores_gemma":[0.00002129731,0.0000389736,0.00001123289,0.0003267732,0.00001362679,0.00005087359,0.00001931651,0.00009069711,0.0002440226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004771139,"about_ca_system_score_gemma":0.000006151034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001627071,"about_ca_topic_score_gemma":0.0003522424,"domain_scores_codex":[0.9996525,0.000009529114,0.0001021509,0.0000707922,0.00005305861,0.0001119696],"domain_scores_gemma":[0.9998454,0.00004880971,0.000007729462,0.00007766006,0.00001056051,0.000009782402],"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":[0.00001761536,0.00005767863,0.01430121,0.0001017432,0.0001090085,0.00002629585,0.007710448,0.4748055,0.008188459,0.03414464,0.03257351,0.4279639],"study_design_scores_gemma":[0.0004659185,0.00002124442,0.2151915,0.00002727889,0.000004705249,0.000002224328,0.006734555,0.6418587,0.01076463,0.003725769,0.1208654,0.0003381021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562042,0.0002321122,0.005926349,0.007419759,0.0002230172,0.0002484685,0.000003717921,0.003070213,0.02667218],"genre_scores_gemma":[0.999113,0.0002891725,0.0001360429,0.00002712285,0.00001084117,0.00001375123,0.00001223015,0.000008201739,0.0003896707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4276258,"threshold_uncertainty_score":0.3136498,"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."}}