{"id":"W2899915095","doi":"","title":"Feature article: A UAV software flight management system using arinc communication protocols","year":2018,"lang":"en","type":"article","venue":"IEEE Aerospace and Electronic Systems Magazine","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Flight management system; Systems engineering; Certification; Collision avoidance; Software; Interface (matter); Engineering; Cockpit; Aviation; Computer science; Aeronautics; Flight simulator; Aerospace engineering; Collision; Computer security; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.000281764,0.0002511769,0.0002577112,0.0001350462,0.0002332608,0.0001800058,0.0002004581,0.0001196306,0.000007450627],"category_scores_gemma":[0.000003337335,0.0002422996,0.00003742592,0.0004386997,0.00005403941,0.0002465259,0.00004846328,0.0001801371,0.00007842929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002926785,"about_ca_system_score_gemma":0.00001491474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009963333,"about_ca_topic_score_gemma":0.00005317824,"domain_scores_codex":[0.9987129,0.00005395459,0.0002334585,0.0002679052,0.0002109629,0.0005208231],"domain_scores_gemma":[0.9992324,0.00001552093,0.00008660364,0.0005101286,0.00007984428,0.00007552166],"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":[0.000411597,0.0003237818,0.005208612,0.01615432,0.002307619,0.00006992515,0.002749326,0.6347014,0.01237308,0.05957847,0.2458023,0.02031953],"study_design_scores_gemma":[0.00147941,0.0001877581,0.0004228457,0.0009949686,0.0001607151,0.00006093716,0.0003912247,0.8666971,0.0007886474,0.00002351089,0.1282061,0.0005867581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1134199,0.005857786,0.8245393,0.0005006476,0.001205253,0.02773455,0.00001338035,0.004244478,0.02248466],"genre_scores_gemma":[0.9899202,0.0001892372,0.003574993,0.0000237325,0.0002906616,0.001596838,0.00001929098,0.0000730075,0.004312064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8765002,"threshold_uncertainty_score":0.9880691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008183831108198921,"score_gpt":0.2235262604700062,"score_spread":0.2153424293618073,"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."}}