{"id":"W1972243853","doi":"10.1177/0954410012439816","title":"Acceptance testing and commissioning of a flight simulator for rotorcraft simulation fidelity research","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Engineering and Physical Sciences Research Council","keywords":"Flight simulator; Airframe; Fidelity; Certification; Context (archaeology); Engineering; Systems engineering; Aeronautics; Simulation; Project commissioning; Flight training; Process (computing); Computer science; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01190676,0.0005929614,0.0005235531,0.0009989757,0.0006505343,0.0009586721,0.001264757,0.001068244,0.002547281],"category_scores_gemma":[0.03938706,0.0004736929,0.0006172501,0.0003647199,0.001067634,0.001148327,0.001265964,0.001098541,0.00062389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009850035,"about_ca_system_score_gemma":0.001326646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234594,"about_ca_topic_score_gemma":0.002598132,"domain_scores_codex":[0.9901693,0.003398559,0.0007161942,0.0004353023,0.004734538,0.0005459883],"domain_scores_gemma":[0.9677261,0.01108963,0.001574443,0.006524244,0.01203134,0.001054178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003611753,0.004016404,0.08993015,0.0005894681,0.0001830489,0.00152983,0.009159274,0.1004932,0.4950949,0.009283931,0.004364648,0.2817435],"study_design_scores_gemma":[0.0007237148,0.02845829,0.06729885,0.0001801752,0.0001516451,0.001286555,0.002269116,0.293763,0.5788552,0.00158209,0.02500417,0.0004271124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8625343,0.00005897863,0.1308839,0.0001918743,0.000121858,0.001748326,0.0002120654,0.0009784914,0.003270182],"genre_scores_gemma":[0.9414427,0.00003604073,0.05622918,0.00004972507,0.00001506858,0.0004843957,0.0003025858,0.0001731677,0.001267274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01190676,"threshold_uncertainty_score":0.06296968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04016112516887455,"score_gpt":0.2916430655721146,"score_spread":0.25148194040324,"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."}}