{"id":"W2892073791","doi":"10.1109/icra.2018.8460610","title":"Autonomous Fixed-Wing Aerobatics: From Theory to Flight","year":2018,"lang":"en","type":"article","venue":"","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fixed wing; Agile software development; Flight simulator; Controller (irrigation); Simulation; Hardware-in-the-loop simulation; Computer science; Aerospace engineering; Flight test; MATLAB; Wing; Fidelity; Microcontroller; Engineering; Control engineering; Embedded 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":[0.0003030783,0.0004800798,0.0004346145,0.0003206136,0.0002452677,0.001307975,0.000705177,0.0006342472,0.002101972],"category_scores_gemma":[0.0007755402,0.000316756,0.0003157429,0.0003155762,0.00134055,0.001289058,0.0005735885,0.001215214,0.0007583354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004064346,"about_ca_system_score_gemma":0.0004593083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001121422,"about_ca_topic_score_gemma":0.0007268591,"domain_scores_codex":[0.9996934,0.00005192001,0.000009626805,0.0000381338,0.0001896672,0.00001715818],"domain_scores_gemma":[0.9998146,0.00006623442,0.00001813846,0.00003564023,0.00005218286,0.00001330699],"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":[0.0001622584,0.0001557336,0.002695228,0.001120955,0.00006661661,0.0004103428,0.0004857551,0.4147962,0.04124574,0.2924388,0.004547783,0.2418745],"study_design_scores_gemma":[0.00002790994,0.0005864264,0.001206121,0.0004050703,0.00002358866,0.0003079307,0.0001814349,0.8396311,0.01826792,0.08259414,0.05671166,0.00005663441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01931112,0.01215084,0.9417304,0.0007543217,0.0002885247,0.0000625029,0.00005481378,0.0006099686,0.02503746],"genre_scores_gemma":[0.7099494,0.03735636,0.2394763,0.0005256978,0.000484084,0.0003039504,0.0002373368,0.0003055596,0.01136124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002101972,"threshold_uncertainty_score":0.007031739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005220255008814061,"score_gpt":0.1996157094791239,"score_spread":0.1943954544703098,"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."}}