{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005115053,0.0005143125,0.000269398,0.0004773397,0.0005248562,0.001140832,0.001147753,0.0005970112,0.01709251],"category_scores_gemma":[0.001309697,0.0001834789,0.0001788029,0.0004097946,0.0002410978,0.001269954,0.0007301491,0.0008386956,0.006919345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000404898,"about_ca_system_score_gemma":0.0006277502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003243817,"about_ca_topic_score_gemma":0.002384496,"domain_scores_codex":[0.9995566,0.00005074121,0.00003517786,0.0000623673,0.0002450188,0.00005013781],"domain_scores_gemma":[0.9994795,0.00007328697,0.00005167779,0.0001258158,0.0002044926,0.0000653218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00128096,0.0005378644,0.004617695,0.0005295321,0.0001120259,0.001614199,0.0005223083,0.02296412,0.1299815,0.03530079,0.2473174,0.5552216],"study_design_scores_gemma":[0.000205298,0.0006055906,0.003197189,0.000092904,0.00009685577,0.001440124,0.00009247095,0.2601016,0.06258676,0.003945235,0.667518,0.0001179449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05112465,0.001172979,0.6474886,0.00116394,0.001076244,0.001125032,0.001859133,0.1329391,0.1620502],"genre_scores_gemma":[0.5872149,0.00152174,0.2410468,0.0009624399,0.0006633307,0.0007584118,0.007147392,0.00421753,0.1564675],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01709251,"threshold_uncertainty_score":0.05718011,"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."}}