{"id":"W4414693485","doi":"10.1109/tcyb.2025.3614090","title":"Dynamic Event-Triggered Bipartite Formation for MIMO Multiagent Systems With Quantized Data","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Higher Education Discipline Innovation Project; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Bipartite graph; Quantization (signal processing); Convergence (economics); Linearization; Nonlinear system; Logarithm; Function (biology); Multi-agent system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001236395,0.0001741471,0.0001874336,0.0001415018,0.0001072521,0.00007138364,0.000262598,0.00008561857,0.00001254015],"category_scores_gemma":[0.000003619132,0.0001559253,0.00005014926,0.0002143115,0.00002429031,0.0001542699,0.000001461773,0.0001375755,0.00002505091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000843635,"about_ca_system_score_gemma":0.00002456001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003655044,"about_ca_topic_score_gemma":0.0002955273,"domain_scores_codex":[0.9990557,0.00002139256,0.0003250359,0.0002227537,0.0001484244,0.0002266779],"domain_scores_gemma":[0.9991703,0.00006924322,0.00003625069,0.0006043797,0.00006768229,0.00005212865],"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":[0.00005068341,0.00006680839,0.000001551359,0.000230821,0.0001106677,0.000001211469,0.0001101675,0.9844084,0.00198311,0.0001353034,0.0005285033,0.01237281],"study_design_scores_gemma":[0.0005176621,0.00006230999,0.00001320373,0.0001606467,0.0001015753,0.000003018416,0.00007918385,0.975723,0.01811237,0.00002530196,0.005027869,0.000173837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01032658,0.0003346927,0.9869383,0.00005282735,0.001024907,0.0007315754,0.0002608104,0.0001976788,0.0001326228],"genre_scores_gemma":[0.993314,0.0003904228,0.005133579,0.00002342106,0.00001139011,0.0001267126,0.00006136097,0.00003155428,0.0009075333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9829875,"threshold_uncertainty_score":0.6358449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03036581572078115,"score_gpt":0.2784674624436437,"score_spread":0.2481016467228625,"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."}}