{"id":"W1743675904","doi":"","title":"Average sampled-data consensus driven by edge events","year":2012,"lang":"en","type":"article","venue":"Chinese Control Conference","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Asynchronous communication; Computer science; Event (particle physics); Enhanced Data Rates for GSM Evolution; Consensus; Sampling (signal processing); State (computer science); Set (abstract data type); Controller (irrigation); Protocol (science); Distributed database; Distributed computing; Data mining; Multi-agent system; Algorithm; Computer network; Artificial intelligence","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":[0.001215334,0.0004035289,0.0006342615,0.0002828489,0.0003824521,0.0007195391,0.001052834,0.0005028055,0.000767748],"category_scores_gemma":[0.0030782,0.0001735916,0.0004080651,0.0003151408,0.000745885,0.001400028,0.001100978,0.0006563835,0.00008750918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005323254,"about_ca_system_score_gemma":0.0004513304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009834844,"about_ca_topic_score_gemma":0.0005791801,"domain_scores_codex":[0.9991498,0.0002631861,0.00005610262,0.0001958941,0.0002450046,0.00009003171],"domain_scores_gemma":[0.9985871,0.0005998534,0.0002067173,0.0002236811,0.0002716347,0.0001109278],"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":[0.0003631951,0.00006505762,0.001498862,0.0001267657,0.00006036237,0.0002930075,0.0002248011,0.8743665,0.01150231,0.07639083,0.0005743601,0.03453404],"study_design_scores_gemma":[0.00001211321,0.00004631553,0.0001044509,0.000001664853,0.000005384121,0.00001384128,0.00001214434,0.9888256,0.001328535,0.009434836,0.0002102633,0.000004808089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08938348,0.0001255905,0.9081221,0.0001114264,0.00004756211,0.00003754841,0.0000366673,0.0001581734,0.001977423],"genre_scores_gemma":[0.9782876,0.00005357614,0.02065369,0.00003633474,0.00001863888,0.00004709905,0.00003924303,0.00001131506,0.0008524454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001215334,"threshold_uncertainty_score":0.006427407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286062180039675,"score_gpt":0.2737124707002309,"score_spread":0.2451062526962633,"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."}}