{"id":"W2018437093","doi":"10.2514/1.g000511","title":"Nonlinear H∞ Attitude Control Using Modified Rodrigues Parameters","year":2014,"lang":"en","type":"article","venue":"Journal of Guidance Control and Dynamics","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Aerospace; Stereographic projection; Astronautics; Control (management); Engineering; Library science; Computer science; Aeronautics; Aerospace 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":[0.000252427,0.0005221071,0.000469279,0.0002235167,0.0002840485,0.0006048445,0.000525972,0.000392594,0.001452372],"category_scores_gemma":[0.0007548026,0.0001723183,0.0002860195,0.0002803881,0.0004131558,0.0006093624,0.000474209,0.0004768966,0.0004357346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000206608,"about_ca_system_score_gemma":0.0002758632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749131,"about_ca_topic_score_gemma":0.001990553,"domain_scores_codex":[0.9997923,0.00006055348,0.00001210152,0.00003574319,0.00008416011,0.0000151414],"domain_scores_gemma":[0.9998266,0.00005372959,0.00002748833,0.00003133568,0.0000546009,0.000006286369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005027676,0.0001272561,0.0007338276,0.0004968036,0.0001483896,0.0001497609,0.0003896703,0.4495823,0.09761155,0.05717747,0.00213317,0.3909472],"study_design_scores_gemma":[0.0000285712,0.0002874983,0.0006166899,0.0000208714,0.00002976382,0.00006986143,0.00005290696,0.9714224,0.01381382,0.006569468,0.007046092,0.00004215267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02025554,0.0005053232,0.9723734,0.00008120021,0.0001236504,0.00002011915,0.00001781799,0.0002632179,0.00635971],"genre_scores_gemma":[0.9202849,0.0003901146,0.0731637,0.00004778046,0.00006106995,0.00004240912,0.00005015554,0.00006736197,0.005892491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001749131,"threshold_uncertainty_score":0.004858732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00768769708537323,"score_gpt":0.2192339459035277,"score_spread":0.2115462488181545,"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."}}