{"id":"W2162888797","doi":"10.2514/6.2005-5853","title":"International Space Station US GN&amp;C Attitute Hold Controller Design for Orbiter Repair Maneuver","year":2005,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference and Exhibit","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Orbiter; Aeronautics; Computer science; International Space Station; Space (punctuation); Controller (irrigation); Aerospace engineering; Control theory (sociology); Automotive engineering; Engineering; Control (management); Operating system","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":[0.0002870675,0.0004373063,0.0001399256,0.0003863734,0.0005109953,0.0006312654,0.0004116059,0.0003187192,0.002479547],"category_scores_gemma":[0.0003782739,0.0001460675,0.000133184,0.0001142903,0.0001824271,0.0002019008,0.0001899002,0.000374101,0.0006129897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000356908,"about_ca_system_score_gemma":0.0008688461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004575506,"about_ca_topic_score_gemma":0.006375482,"domain_scores_codex":[0.9998329,0.00001693905,0.000007293529,0.000027304,0.00009451062,0.00002104327],"domain_scores_gemma":[0.999846,0.00001409933,0.00002136552,0.000009180155,0.0001003888,0.000008982921],"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":[0.0004746927,0.0002466034,0.002710405,0.0004334582,0.00008727184,0.0005053554,0.0007699595,0.2150262,0.301986,0.02485412,0.01308926,0.4398167],"study_design_scores_gemma":[0.0001784092,0.001147871,0.003923179,0.00005921712,0.00007759366,0.0003123081,0.0001944923,0.8290139,0.1104091,0.001422617,0.0532153,0.00004618083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03670914,0.0003473733,0.9303161,0.0002420463,0.0001751059,0.0003114405,0.00006308943,0.001254668,0.03058112],"genre_scores_gemma":[0.8701151,0.0003222616,0.1127068,0.0002287165,0.00009797484,0.0003508336,0.0001400689,0.00008804891,0.01595013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004575506,"threshold_uncertainty_score":0.009097695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752675005048073,"score_gpt":0.240917941026086,"score_spread":0.2233911909756052,"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."}}