{"id":"W2116834924","doi":"10.1115/dscc2014-6284","title":"A Single-Leader Servo Approach to Multi-Agent Consensus Problems","year":2014,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Servomechanism; Control theory (sociology); Constant (computer programming); Computer science; Consensus; Multi-agent system; State (computer science); Controller (irrigation); Group (periodic table); Feature (linguistics); Scheme (mathematics); Servo; Value (mathematics); Network topology; Tracking (education); Topology (electrical circuits); Control engineering; Artificial intelligence; Mathematics; Engineering; Control (management); Algorithm; Machine learning","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006951527,0.0003227387,0.0003879197,0.0001528917,0.0001315819,0.0004124589,0.001422501,0.0001196848,0.00001150539],"category_scores_gemma":[0.0001640284,0.0002740219,0.0001259787,0.0005553246,0.00004407651,0.0001822024,0.0003685553,0.0001490506,0.001014839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194521,"about_ca_system_score_gemma":0.00004759765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001592526,"about_ca_topic_score_gemma":0.00003324929,"domain_scores_codex":[0.9970825,0.000239908,0.000525487,0.0009123091,0.0005138773,0.0007259184],"domain_scores_gemma":[0.9978319,0.0001194055,0.0001366803,0.001277476,0.0002061884,0.0004283464],"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":[0.00008779408,0.01028999,0.005916523,0.001010395,0.0008599712,0.00007394698,0.01713359,0.07276969,0.1326647,0.4554439,0.1194132,0.1843364],"study_design_scores_gemma":[0.001878832,0.0001523176,0.000923552,0.00004249606,0.00001314895,0.00004982993,0.0001707256,0.9196939,0.001388568,0.0001137334,0.07498967,0.0005832551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002423385,0.00003893378,0.9691454,0.002108499,0.0005890941,0.001043129,0.000006994033,0.0007282882,0.0239163],"genre_scores_gemma":[0.8167248,2.472288e-7,0.177981,0.001372884,0.0001005001,0.0001456184,0.000008476865,0.00002413473,0.003642357],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8469242,"threshold_uncertainty_score":0.9999712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05687863516250349,"score_gpt":0.2387252989486103,"score_spread":0.1818466637861068,"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."}}