{"id":"W2316626148","doi":"10.2514/6.2013-4827","title":"Use of Simulation Tools in the Development and Evaluation of an Automatic Air Collision Avoidance System for Fighter Aircraft","year":2013,"lang":"en","type":"article","venue":"","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Collision avoidance; Computer science; Aeronautics; Aerospace engineering; Collision; Simulation; Collision avoidance system; Flight simulator; Automotive engineering; Engineering; Computer security","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":[0.001303087,0.0008665567,0.0004278243,0.0007079273,0.0005309557,0.0009535521,0.00105885,0.0007537988,0.001298684],"category_scores_gemma":[0.004433351,0.000471503,0.0004302307,0.0003926621,0.0004965601,0.000722576,0.0004318787,0.000618015,0.0001350301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009220057,"about_ca_system_score_gemma":0.001116746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035861,"about_ca_topic_score_gemma":0.008037019,"domain_scores_codex":[0.9993575,0.0003392991,0.00004543783,0.00003692403,0.0001696793,0.00005118954],"domain_scores_gemma":[0.9970782,0.002077094,0.0001564293,0.0001920372,0.0004174353,0.00007881927],"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":[0.0003869033,0.0004860884,0.004485213,0.0001434094,0.00008148942,0.0001620691,0.0003989674,0.9442039,0.01703906,0.001996431,0.0004453814,0.03017128],"study_design_scores_gemma":[0.00005101426,0.0002399516,0.0007056509,0.00001592785,0.00003418637,0.00003383871,0.00005911519,0.9851805,0.01242531,0.0002893182,0.0009505592,0.00001461131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.867961,0.0002684214,0.1196434,0.000194294,0.00006591056,0.0003448369,0.0002809035,0.001446447,0.009794811],"genre_scores_gemma":[0.9524326,0.0001862682,0.04590585,0.00002520894,0.000004927261,0.000151346,0.0002024475,0.00009946655,0.0009918205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035861,"threshold_uncertainty_score":0.02059662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05068322073624532,"score_gpt":0.2766375995248887,"score_spread":0.2259543787886434,"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."}}