{"id":"W4285119239","doi":"10.1007/978-3-030-96087-2_6","title":"Rendezvous of Unicycles","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":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rendezvous; Control theory (sociology); Controller (irrigation); Stability (learning theory); Control engineering; Kinematics; Engineering; Computer science; Control (management); Artificial intelligence; Aerospace engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002326871,0.0006613551,0.000945929,0.001009347,0.001809334,0.001237792,0.001229678,0.0007936448,0.01624554],"category_scores_gemma":[0.001324255,0.0005339556,0.0005831014,0.0008800003,0.001209956,0.001645588,0.002837605,0.001084078,0.003060586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006960068,"about_ca_system_score_gemma":0.0003807258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002883168,"about_ca_topic_score_gemma":0.003000462,"domain_scores_codex":[0.9996328,0.00005173715,0.00001232887,0.0001338049,0.00008840272,0.00008095611],"domain_scores_gemma":[0.9996165,0.00008701513,0.00003117295,0.0001385304,0.00005286984,0.00007374393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001038566,0.00007450718,0.001018405,0.0005153319,0.00009085125,0.0009353556,0.002031698,0.06876136,0.05745915,0.5962191,0.01439199,0.2574637],"study_design_scores_gemma":[0.0001822188,0.0004944451,0.001929897,0.0003770044,0.00008706798,0.001680976,0.001999545,0.2353299,0.05359693,0.378833,0.3253369,0.0001521213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3224806,0.006211149,0.3416893,0.0007489983,0.001755265,0.0001502469,0.0005693114,0.003381665,0.3230134],"genre_scores_gemma":[0.8591866,0.001949302,0.03757199,0.00009825317,0.0001088649,0.0001145061,0.0004480951,0.0006390304,0.09988333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01624554,"threshold_uncertainty_score":0.05434674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374429730778878,"score_gpt":0.2283916702953449,"score_spread":0.2146473729875561,"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."}}