{"id":"W2327885215","doi":"10.2514/6.2016-0133","title":"Combined Flight Management System and Flight Data Recorder for General Aviation using Tablet Computers","year":2016,"lang":"en","type":"article","venue":"AIAA Infotech @ Aerospace","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Aviation; Aeronautics; Flight management system; Computer science; Flight simulator; Real-time computing; Simulation; Engineering; Aerospace engineering","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":[0.000692162,0.0008314764,0.0008541779,0.001664969,0.0005293231,0.001901611,0.001392184,0.0007300781,0.04737582],"category_scores_gemma":[0.001725174,0.000364908,0.0005790063,0.001679844,0.0001854046,0.001451667,0.0009060394,0.0006903046,0.01595298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005448927,"about_ca_system_score_gemma":0.0007290835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003511363,"about_ca_topic_score_gemma":0.003163246,"domain_scores_codex":[0.9983366,0.0002322025,0.0001349958,0.0004634142,0.0007154913,0.0001173646],"domain_scores_gemma":[0.9982999,0.0002364,0.0001197448,0.0005549517,0.0006502987,0.000138813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001798213,0.0004579286,0.01122877,0.000923258,0.000218964,0.0006249275,0.0002518745,0.002422416,0.07304335,0.003602139,0.08822896,0.8171992],"study_design_scores_gemma":[0.001604561,0.003837227,0.1006618,0.0007797949,0.001369934,0.003688776,0.0007759982,0.1169263,0.1546922,0.003738788,0.6113707,0.0005539608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1419127,0.007870608,0.6151726,0.002072416,0.001203987,0.004246948,0.01428782,0.0783215,0.1349114],"genre_scores_gemma":[0.4950357,0.003905887,0.38615,0.001332927,0.001180275,0.0019304,0.01125784,0.001143229,0.09806376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04737582,"threshold_uncertainty_score":0.1584879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672225754633019,"score_gpt":0.2261710731944656,"score_spread":0.2094488156481354,"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."}}