{"id":"W1531582754","doi":"10.1109/ccece.2000.849679","title":"A control structure for autonomous model helicopter navigation","year":2002,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Nonlinear system; Attitude control; Control engineering; Controller (irrigation); Scheme (mathematics); Moment (physics); Hierarchy; Rigid body dynamics; Control (management); Vehicle dynamics; Mechanism (biology); Engineering; Computer science; Control system; Rigid body; Aerospace engineering; 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":[0.0001501572,0.0003425505,0.0001985636,0.0001637444,0.0004209388,0.0003778804,0.0004345356,0.0003797935,0.004118395],"category_scores_gemma":[0.0002917578,0.0001267357,0.0002046429,0.0001303839,0.0003198854,0.0003825466,0.0003767778,0.0005502215,0.0008218067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003245745,"about_ca_system_score_gemma":0.000479321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001864839,"about_ca_topic_score_gemma":0.002532276,"domain_scores_codex":[0.999894,0.00001294054,0.00000552927,0.00002437491,0.0000504915,0.00001257094],"domain_scores_gemma":[0.9999326,0.00001071076,0.00001198219,0.00001128466,0.00002665316,0.000006588323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001100697,0.0001107892,0.000325112,0.000226208,0.00002760375,0.0002075045,0.0002351653,0.3011667,0.08581697,0.297594,0.009335879,0.304844],"study_design_scores_gemma":[0.00005241405,0.0003521019,0.0003712205,0.00003641177,0.00001927626,0.00009119812,0.00002501714,0.9109592,0.007276511,0.04793873,0.03286048,0.0000174257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005198012,0.000141134,0.988615,0.00009304676,0.00006121005,0.00005533634,0.00004703246,0.0003641025,0.005425158],"genre_scores_gemma":[0.6776346,0.0004525081,0.3021823,0.0002726482,0.0001726543,0.0005533617,0.000353627,0.00007777072,0.01830055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004118395,"threshold_uncertainty_score":0.01377738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593796892481611,"score_gpt":0.2072601028604761,"score_spread":0.1913221339356599,"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."}}