{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004967113,0.0006038573,0.0004695222,0.0005440813,0.0002663697,0.0008929915,0.0009207955,0.0006326447,0.02217704],"category_scores_gemma":[0.000696226,0.0003616823,0.0003971574,0.0002791923,0.0001917172,0.0006023378,0.0009849281,0.0005064689,0.005401677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000265679,"about_ca_system_score_gemma":0.0003979368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345623,"about_ca_topic_score_gemma":0.001296102,"domain_scores_codex":[0.9995081,0.0001004903,0.00003800396,0.00008690719,0.0002179523,0.00004849946],"domain_scores_gemma":[0.9996244,0.000064381,0.00002221704,0.0001370175,0.0001012364,0.00005069657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005058086,0.001321155,0.008294734,0.0007846941,0.0002089473,0.002628612,0.001875014,0.07637454,0.4238381,0.01017907,0.08029853,0.3891384],"study_design_scores_gemma":[0.0008676127,0.00229287,0.01516828,0.0001198584,0.000198711,0.001881737,0.0003170519,0.4391021,0.3264209,0.001991573,0.2113465,0.0002927488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2348679,0.0004130684,0.5853975,0.0003798965,0.0002683639,0.000801353,0.004100992,0.1304474,0.04332355],"genre_scores_gemma":[0.806601,0.0002638218,0.1546363,0.0001946122,0.0000504679,0.0005665464,0.006511352,0.002051286,0.0291246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02217704,"threshold_uncertainty_score":0.0741896,"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."}}