{"id":"W2804551012","doi":"10.24425/119079","title":"Application of predictive control for manipulator mounted on a satellite","year":2018,"lang":"en","type":"article","venue":"Archives of Control Sciences","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Satellite; Trajectory; Computer science; Control theory (sociology); Realization (probability); Orbit (dynamics); Model predictive control; Controller (irrigation); Space debris; Manipulator (device); Control engineering; Spacecraft; Control (management); Aerospace engineering; Engineering; Robotic arm; Artificial intelligence; Mathematics; 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":[0.0002576121,0.0001273114,0.0003098596,0.0001434315,0.00006931579,0.00001335446,0.0002579706,0.00003584428,0.000004690416],"category_scores_gemma":[0.00004647658,0.0001009443,0.000109409,0.000145612,0.000459116,0.00008322405,0.000006107217,0.00004006552,0.00000467805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008232949,"about_ca_system_score_gemma":0.00002219654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000370926,"about_ca_topic_score_gemma":0.00002885756,"domain_scores_codex":[0.9990066,0.00003344267,0.0003195118,0.0002042764,0.0002004664,0.0002356652],"domain_scores_gemma":[0.9990561,0.0005067925,0.0001312073,0.0001872017,0.00006541743,0.00005326609],"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":[0.001919956,0.0001538346,0.02551649,0.0002908815,0.0005315397,4.080714e-7,0.002164692,0.04926996,0.6716842,0.0942185,0.00004901619,0.1542005],"study_design_scores_gemma":[0.002589564,0.001188433,0.03131229,0.0000639814,0.00004728889,8.372981e-7,0.0001792731,0.9459339,0.01223365,0.003934028,0.002367743,0.0001489931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.113724,0.000970457,0.8618172,0.0001613923,0.0003130578,0.00190262,0.0001680765,0.0001287407,0.02081443],"genre_scores_gemma":[0.9991122,0.00002342185,0.0005157818,0.00004317895,0.0001564571,0.000114952,0.000001692805,0.00001137562,0.0000208748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.896664,"threshold_uncertainty_score":0.4116389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006978551219753736,"score_gpt":0.2353806100560093,"score_spread":0.2284020588362556,"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."}}