{"id":"W4382047654","doi":"10.32920/23580471","title":"Augmented Reality – Cockpit Display System In Real-Time Flight Simulation Environment","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cockpit; Headset; Flight simulator; Augmented reality; Simulation; Computer science; Flight training; Embedded system; Flight test; Engineering; Aeronautics; Systems engineering; Human–computer interaction; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002575918,0.0002614135,0.0003270179,0.0001278504,0.00003120318,0.00003235352,0.000120593,0.0003388808,0.00009268853],"category_scores_gemma":[0.000009206616,0.0002605524,0.000083443,0.0001000343,0.00001136422,0.00004975357,0.0001216013,0.0002833047,0.0006520473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008396179,"about_ca_system_score_gemma":0.000008016894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344454,"about_ca_topic_score_gemma":0.00006981644,"domain_scores_codex":[0.9985569,0.00006549044,0.0005248466,0.0003381314,0.0002721351,0.0002425073],"domain_scores_gemma":[0.9993678,0.00007877362,0.00006611153,0.0004108805,0.00001493271,0.00006143968],"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":[0.00001321316,0.00001345221,0.0001861602,0.0003912948,0.00003215563,0.0000122693,0.0001163243,0.9941053,0.004351805,0.0001616574,0.0003483342,0.0002679818],"study_design_scores_gemma":[0.0002114723,0.000007988961,0.01205311,0.0002565649,0.00002690708,4.331681e-7,0.00002129781,0.9845474,0.00210023,0.00007121774,0.0004263619,0.0002770484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9266819,0.00006570094,0.03341512,0.0001394093,0.001980638,0.00226134,0.0002773401,0.004100823,0.0310777],"genre_scores_gemma":[0.9971046,0.00009317527,0.0001494831,0.000002696194,0.0001559838,0.00006437836,0.001003845,0.0000647802,0.001361042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07042269,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163870555104216,"score_gpt":0.2512624595967453,"score_spread":0.2296237540457031,"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."}}