{"id":"W2415615063","doi":"10.1109/tac.2017.2650562","title":"Local and Distributed Rendezvous of Underactuated Rigid Bodies","year":2017,"lang":"en","type":"preprint","venue":"IEEE Transactions on Automatic Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Underactuation; Rendezvous; Gyroscope; Convergence (economics); Control theory (sociology); Computer science; Rigid body; Control (management); Engineering; Aerospace engineering; Artificial intelligence; Physics; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002845152,0.0004754828,0.0006045388,0.0002251109,0.0005012935,0.0004795842,0.0007475979,0.0004051014,0.001172844],"category_scores_gemma":[0.000814726,0.0002057026,0.0002973166,0.000135096,0.001083379,0.0007449492,0.001318864,0.0004665745,0.0002319711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236287,"about_ca_system_score_gemma":0.0003077895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003500551,"about_ca_topic_score_gemma":0.00266516,"domain_scores_codex":[0.9998063,0.00003877166,0.000004072327,0.00007214682,0.00004569316,0.00003307715],"domain_scores_gemma":[0.9997652,0.00008833318,0.00003816921,0.00004971827,0.00002771126,0.00003081457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001588282,0.0000264844,0.0008432421,0.00006737813,0.0000291033,0.0002349934,0.0003119942,0.9257765,0.01786619,0.02514193,0.0005085592,0.02903481],"study_design_scores_gemma":[0.00003052676,0.00006512767,0.0002255201,0.000004387483,0.0000059553,0.00004521466,0.00008704197,0.9861871,0.00385716,0.008221392,0.001263015,0.000007437342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2893372,0.0003111379,0.7013143,0.0001485978,0.00004978367,0.0000378072,0.00002579951,0.0003694304,0.00840586],"genre_scores_gemma":[0.9762688,0.00006714289,0.02009107,0.00001317583,0.00001131841,0.00002239842,0.00001757122,0.00003809714,0.003470452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003500551,"threshold_uncertainty_score":0.006960332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204746722710365,"score_gpt":0.2620073206743429,"score_spread":0.2415326484033064,"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."}}