{"id":"W3152797284","doi":"10.1155/2021/6662175","title":"Reaching Consensus with Byzantine Faulty Controllers in Software‐Defined Networks","year":2021,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Byzantine fault tolerance; Byzantine architecture; Distributed computing; Software; Consensus; Computer network; Fault tolerance; Programming language; Artificial intelligence; Multi-agent system","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":[],"consensus_categories":[],"category_scores_codex":[0.000549625,0.0002322215,0.0004230466,0.0001049953,0.000574085,0.0002602712,0.0009260419,0.0001021597,0.000002118738],"category_scores_gemma":[0.00007239467,0.0002166026,0.00005830756,0.0008006499,0.0001718247,0.0001256366,0.001231344,0.0005278451,0.000001713067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003330329,"about_ca_system_score_gemma":0.000124742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001525519,"about_ca_topic_score_gemma":0.0002490623,"domain_scores_codex":[0.9981028,0.0003147221,0.0004760993,0.0005007787,0.0001622183,0.000443338],"domain_scores_gemma":[0.9961002,0.001629343,0.0002065709,0.001758287,0.0001890942,0.000116515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004210387,0.0004766233,0.05920021,0.00004566588,0.0001163948,0.0001247729,0.002228666,0.1061396,0.0001614744,0.05231999,0.0002860579,0.7788585],"study_design_scores_gemma":[0.001652438,0.00007337345,0.004684049,0.0002838487,0.0000135024,0.0001403883,0.0002374112,0.9887075,0.00001771122,0.0001877808,0.003663124,0.0003388634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2507072,0.007823888,0.7387651,0.00110483,0.0001452479,0.0003575896,0.000003290346,0.0003794042,0.0007134298],"genre_scores_gemma":[0.8690865,0.0006801973,0.1297483,0.000333187,0.00003513366,0.00003839346,0.0000278218,0.00002046112,0.00003002186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8825679,"threshold_uncertainty_score":0.8832799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582010703873579,"score_gpt":0.2468449487419177,"score_spread":0.2310248417031819,"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."}}