{"id":"W4390569937","doi":"10.1016/j.automatica.2023.111497","title":"Protocol selection for second-order consensus against disturbance","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Basic Research Program of Shaanxi Province; Young Scientists Fund; Program for New Century Excellent Talents in University; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; University of Alberta","keywords":"Disturbance (geology); Protocol (science); Laplacian matrix; Control theory (sociology); Position (finance); Computer science; Transformation (genetics); Eigenvalues and eigenvectors; Selection (genetic algorithm); Graph; Signed graph; Order (exchange); Topology (electrical circuits); Mathematics; Control (management); Theoretical computer science; Physics; Artificial intelligence; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002241078,0.0006794704,0.0006034462,0.0007560423,0.0005671597,0.001063356,0.001167249,0.0008168187,0.001933991],"category_scores_gemma":[0.006047313,0.000225746,0.0004712541,0.0005980537,0.001116344,0.001395771,0.00162104,0.0009786143,0.0002980025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006900569,"about_ca_system_score_gemma":0.00125637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00063156,"about_ca_topic_score_gemma":0.0005416085,"domain_scores_codex":[0.9978301,0.000721311,0.0001214295,0.0003675877,0.0007439456,0.0002156088],"domain_scores_gemma":[0.9971923,0.001364505,0.0003723391,0.0003815886,0.0005175711,0.0001717509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004171477,0.0001433002,0.001278638,0.0004825524,0.0001172793,0.0006126867,0.0009881351,0.5007514,0.05871183,0.3348677,0.003136133,0.09849311],"study_design_scores_gemma":[0.00005654675,0.000184522,0.0001811191,0.0000157206,0.00001789444,0.0001314103,0.00007911347,0.9496878,0.007877367,0.03976909,0.001971833,0.00002753704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02677619,0.0001316791,0.9681708,0.0002351498,0.0000635946,0.0001412666,0.00002051055,0.0003329863,0.004127915],"genre_scores_gemma":[0.9257256,0.0001575613,0.07048125,0.0001229022,0.00003452973,0.000372471,0.00006487998,0.00004450486,0.002996241],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002241078,"threshold_uncertainty_score":0.01185209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751524418443434,"score_gpt":0.2919688635399726,"score_spread":0.2744536193555383,"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."}}