{"id":"W2060806652","doi":"10.2514/1.13953","title":"Close-Formation Flight Control with Motion Synchronization","year":2005,"lang":"en","type":"article","venue":"Journal of Guidance Control and Dynamics","topic":"Guidance and Control Systems","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Aerodynamics; Aerospace engineering; Drag; Control theory (sociology); Position (finance); Fuel efficiency; Reduction (mathematics); Autopilot; Computer science; Flight control surfaces; Flight dynamics; Control (management); Engineering; Mathematics; Artificial intelligence","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":[0.0004248599,0.0005441689,0.0006118588,0.0002895319,0.0005811393,0.0006770912,0.0006287624,0.0006099554,0.00394607],"category_scores_gemma":[0.001442239,0.0002072482,0.0002814335,0.0002922127,0.0005605908,0.0006978379,0.001609904,0.0006625187,0.0007677908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719655,"about_ca_system_score_gemma":0.000459126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488294,"about_ca_topic_score_gemma":0.001309854,"domain_scores_codex":[0.9997008,0.00006996248,0.0000138321,0.0000931883,0.00008698306,0.00003528825],"domain_scores_gemma":[0.9997429,0.0000836386,0.00004490261,0.00003856778,0.00006388402,0.00002605541],"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":[0.0005993435,0.0001115027,0.0008346661,0.0003143906,0.00009531844,0.0002628225,0.000453528,0.5919836,0.03054025,0.07500541,0.009406078,0.2903931],"study_design_scores_gemma":[0.00008974117,0.0002888073,0.0004677993,0.00002002751,0.000017388,0.00009023076,0.000032354,0.9737961,0.004192904,0.01555662,0.005429054,0.0000189754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02218615,0.0003153298,0.9641529,0.000234422,0.0003189924,0.00006799115,0.00005790863,0.0006404197,0.01202584],"genre_scores_gemma":[0.9490606,0.0001643233,0.03935184,0.0001257144,0.000108406,0.0001214733,0.0001138901,0.00006039491,0.01089336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00394607,"threshold_uncertainty_score":0.01320088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002119755527299789,"score_gpt":0.1696184796036402,"score_spread":0.1674987240763404,"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."}}