{"id":"W2912724935","doi":"10.1177/1729881418825407","title":"Position deceptive tracking controller and parameters analysis via error characteristics for unmanned aerial vehicle","year":2019,"lang":"en","type":"article","venue":"International Journal of Advanced Robotic Systems","topic":"Guidance and Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Calgary; U.S. Department of Homeland Security","keywords":"Computer science; Offset (computer science); Position (finance); Controller (irrigation); Control theory (sociology); Position error; Spoofing attack; Tracking (education); Tracking error; Path (computing); Real-time computing; Artificial intelligence; Control (management); Orientation (vector space); Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002551477,0.000154975,0.0005610639,0.0002590598,0.00002897306,0.000114294,0.000184013,0.00007027373,0.000005427287],"category_scores_gemma":[0.0000501087,0.0001396378,0.0002169115,0.0001102119,0.00001604641,0.0003595149,0.000009898522,0.0001018688,0.000006439629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001656045,"about_ca_system_score_gemma":0.00001421329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009670042,"about_ca_topic_score_gemma":0.000003772415,"domain_scores_codex":[0.9986153,0.00004052217,0.0007134292,0.0001327497,0.0003202067,0.0001777987],"domain_scores_gemma":[0.9987206,0.0001934908,0.0004156372,0.00008244769,0.0005123324,0.00007544489],"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":[0.000466415,0.00002444641,0.003577076,0.0000483911,0.002375751,0.00001188447,0.0002436372,0.9290546,0.05992273,0.0001433763,0.00002140657,0.004110287],"study_design_scores_gemma":[0.005799346,0.0003364946,0.01812499,0.0003881149,0.0005891864,0.0001324102,0.0006876663,0.9723779,0.0007361633,0.000130642,0.0003767195,0.000320348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7332209,0.0004847146,0.2601197,0.00007736844,0.005614668,0.0003938119,0.00002302999,0.0000265,0.00003927876],"genre_scores_gemma":[0.9984099,0.00002828256,0.0009144181,0.00003031402,0.0005129985,0.00002063294,0.00001260022,0.00002354626,0.00004732891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.265189,"threshold_uncertainty_score":0.5694265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008130930957312911,"score_gpt":0.2394867202967169,"score_spread":0.231355789339404,"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."}}