{"id":"W2153308636","doi":"10.1109/acc.2011.5991471","title":"Leader selection in multi-agent systems subject to partial failure","year":2011,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Controllability; Selection (genetic algorithm); Computer science; Network controllability; Information flow; Mathematical optimization; Graph; Multi-agent system; Reliability (semiconductor); Distributed computing; Topology (electrical circuits); Theoretical computer science; Mathematics; Artificial intelligence; Applied mathematics; Combinatorics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005194035,0.0002285192,0.000294216,0.0002559092,0.00007202007,0.0001962829,0.0008065569,0.0001233496,0.00004284688],"category_scores_gemma":[0.00005560753,0.0002048467,0.00007656583,0.0008045167,0.00001475591,0.0005146107,0.0001405879,0.0001570807,0.0009527629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001993776,"about_ca_system_score_gemma":0.00007015938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002777108,"about_ca_topic_score_gemma":0.001433411,"domain_scores_codex":[0.9977261,0.0002175004,0.0004920248,0.0006319247,0.0003435697,0.0005888427],"domain_scores_gemma":[0.9990975,0.00003346362,0.0000968332,0.0004407286,0.0001125462,0.0002189504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004353659,0.00584212,0.3999368,0.0005896671,0.0008061146,0.0007956275,0.05232136,0.03267856,0.1371751,0.2799971,0.06410066,0.02532157],"study_design_scores_gemma":[0.003905124,0.0004146441,0.07735791,0.0001496273,0.00002216875,0.00009864291,0.001217858,0.876938,0.01529021,0.00003675202,0.02332853,0.001240465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02700978,0.00004659731,0.969056,0.0002826297,0.001002089,0.0009261271,0.000004175075,0.0004328727,0.001239738],"genre_scores_gemma":[0.9877131,6.822105e-7,0.01068253,0.0001452145,0.00008354164,0.0002069215,0.000002434999,0.00001529693,0.001150275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9607033,"threshold_uncertainty_score":0.9998251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06740671636600963,"score_gpt":0.2596474001135576,"score_spread":0.192240683747548,"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."}}