{"id":"W1902594084","doi":"10.1109/dasc.2015.7311667","title":"Mandates and avionics R&D an airborne perspective","year":2015,"lang":"en","type":"article","venue":"2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Avionics; Upgrade; Rulemaking; Perspective (graphical); Business; Service (business); Plan (archaeology); Aeronautics; Engineering; Telecommunications; Computer science; Marketing; Political science; Geography; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02899118,0.00104781,0.0007211184,0.002141953,0.007185565,0.01516831,0.003962255,0.01970557,0.01564762],"category_scores_gemma":[0.02623758,0.001391177,0.001449462,0.001540807,0.006775367,0.00624256,0.005590717,0.01432456,0.006502785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007347196,"about_ca_system_score_gemma":0.03897939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04500606,"about_ca_topic_score_gemma":0.04484329,"domain_scores_codex":[0.9642544,0.008500969,0.002644946,0.003940356,0.01581455,0.004844849],"domain_scores_gemma":[0.96201,0.01149512,0.002881506,0.00305847,0.01697527,0.003579709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002990141,0.0001868915,0.001293169,0.0001505701,0.00002260981,0.0001835412,0.000466237,0.001958781,0.002233435,0.8984428,0.07018769,0.02484435],"study_design_scores_gemma":[0.00002899196,0.0001892377,0.004262208,0.0007164227,0.00003907067,0.0002755557,0.001191426,0.001673465,0.002992764,0.07312749,0.9153934,0.0001100582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01286215,0.004908561,0.02526854,0.1149866,0.002702302,0.0002626448,0.0003936052,0.0003490701,0.8382666],"genre_scores_gemma":[0.3249586,0.005375872,0.04451888,0.213085,0.003047686,0.0008973259,0.0005467775,0.0004143688,0.4071555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04500606,"threshold_uncertainty_score":0.1533219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04211230477760494,"score_gpt":0.255992925518859,"score_spread":0.2138806207412541,"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."}}