{"id":"W4285243778","doi":"10.1007/978-3-030-96087-2_5","title":"Rendezvous of Flying Robots","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rendezvous; Robot; Robotics; Computer science; Underactuation; Mobile robot; Artificial intelligence; Control engineering; Control theory (sociology); Engineering; Aerospace engineering; Control (management)","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":[0.001006108,0.0002505754,0.0004770218,0.0005570273,0.0002661686,0.0002755384,0.0009803707,0.0001652789,0.00006634194],"category_scores_gemma":[0.0002647128,0.0002100686,0.0000947052,0.0002496605,0.0001819028,0.002503076,0.0002098129,0.0003205469,0.00001160634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007444645,"about_ca_system_score_gemma":0.0001879125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001060093,"about_ca_topic_score_gemma":0.00003216178,"domain_scores_codex":[0.9977973,0.00004887084,0.0007893064,0.0003026497,0.0007913075,0.0002706031],"domain_scores_gemma":[0.9982674,0.0004847164,0.0007228511,0.0003420526,0.000120782,0.00006222641],"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":[0.00002588254,0.00001205927,0.0002115696,0.0001110065,0.00004964533,0.000006115988,0.001709267,0.03287747,0.0000756796,0.4791341,0.00008353322,0.4857037],"study_design_scores_gemma":[0.003736891,0.0005994798,0.0007812736,0.0003842786,0.00005083248,0.00008988443,0.00004722541,0.7288755,0.00008630851,0.05305059,0.2111312,0.001166543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00002796228,0.001569988,0.8896074,0.001455378,0.0007378394,0.0005562497,0.00007941374,0.00007925712,0.1058865],"genre_scores_gemma":[0.9957698,0.0001626739,0.002275118,0.001266551,0.00006426052,0.0000385631,0.00002695481,0.00000771635,0.0003883801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9957418,"threshold_uncertainty_score":0.8566349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688847759931703,"score_gpt":0.2334772821328045,"score_spread":0.2165888045334874,"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."}}