{"id":"W2572946383","doi":"10.1109/cgncc.2016.7828984","title":"Wind estimation using the position information from a hovering quadrotor","year":2016,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Propeller; Aerodynamics; Control theory (sociology); Kinematics; Position (finance); MATLAB; Computer science; Motion (physics); Kinematics equations; Fixed point; Marine engineering; Engineering; Control (management); Robot kinematics; Mathematics; Robot; Mobile robot; Artificial intelligence; Aerospace engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007512844,0.00007492241,0.00006916257,0.00003540844,0.00004218306,0.0000444954,0.00006270589,0.00003855308,0.00003942017],"category_scores_gemma":[0.00002710728,0.00004208069,0.00002592343,0.00004680161,0.00001042745,0.0009207015,0.00001130768,0.00003365194,0.0001470624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001216484,"about_ca_system_score_gemma":0.000007603776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000959989,"about_ca_topic_score_gemma":0.00001027826,"domain_scores_codex":[0.9995623,0.00001435937,0.0001703194,0.00004445591,0.0001142686,0.00009426334],"domain_scores_gemma":[0.9997171,0.00006837329,0.00003583629,0.0001232099,0.00003318701,0.00002229461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007388513,0.00001744359,0.001398513,0.00005989715,0.0002492408,0.000003198007,0.001741832,0.2893612,0.4326307,0.002616091,0.001341859,0.2705062],"study_design_scores_gemma":[0.0003428506,0.000009012817,0.00358821,0.00006490431,0.00001064969,0.000003547341,0.00006562966,0.9903167,0.003713154,0.0001384721,0.001648751,0.00009814253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2090906,0.00002101334,0.7891209,0.0001103206,0.0002037336,0.0001824971,0.00001508505,0.0001600056,0.001095792],"genre_scores_gemma":[0.9932545,0.00000150307,0.006511709,0.0000391385,0.0001512735,0.000005779435,0.000006757184,0.000009977249,0.00001938395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7841638,"threshold_uncertainty_score":0.1890238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107104878085495,"score_gpt":0.2119134907741875,"score_spread":0.2008424419933325,"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."}}