{"id":"W3123628531","doi":"10.1109/globecom42002.2020.9322641","title":"Multiple entry point PBFT for IoT systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Byzantine fault tolerance; Computer science; Consensus algorithm; Internet of Things; Distributed computing; Reservation; Node (physics); Bandwidth (computing); Computer network; Software deployment; Quantum Byzantine agreement; Fault tolerance; Algorithm; Computer security; Engineering","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":[0.0001253426,0.000106383,0.0001826285,0.00001488418,0.00007323262,0.0001962658,0.0005681383,0.00004749039,0.000006661034],"category_scores_gemma":[0.00006385391,0.00008702726,0.00007709934,0.0001709009,0.00001001385,0.0001031452,0.00009735907,0.00005281157,0.0001219149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001755219,"about_ca_system_score_gemma":0.00003971265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005321795,"about_ca_topic_score_gemma":0.000003802091,"domain_scores_codex":[0.998992,0.00002267839,0.0002448082,0.0003377549,0.0001605227,0.000242219],"domain_scores_gemma":[0.9993184,0.00007871299,0.00006391446,0.0002940095,0.00008048348,0.0001644858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004133961,0.0001443986,0.00176941,0.0004865173,0.00007990309,0.00003075946,0.00165069,0.005161521,0.004471328,0.6319212,0.3395143,0.0147286],"study_design_scores_gemma":[0.0006042954,0.00007256085,0.0001100974,0.0000203968,0.000001997292,0.000006406577,0.0001050668,0.7989545,0.0006340528,0.0001109051,0.1992275,0.0001521529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00141184,0.0002272485,0.9892805,0.004196359,0.0006561151,0.0004338199,0.00003790848,0.0002941304,0.003462097],"genre_scores_gemma":[0.9842452,0.000001368138,0.01351402,0.001179777,0.0002422027,0.00006310961,0.000006173584,0.000007528087,0.0007406163],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9828334,"threshold_uncertainty_score":0.3548869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482386617896222,"score_gpt":0.2297711078487769,"score_spread":0.2049472416698147,"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."}}