{"id":"W4408325607","doi":"10.1109/globecom52923.2024.10901220","title":"Accelerating PBFT in IoT blockchain applications by overlapping consensus rounds","year":2024,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Blockchain; Consensus algorithm; Computer science; Internet of Things; Computer security; Data science","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":[0.0002963876,0.0001170384,0.000140277,0.00008048847,0.00009294901,0.0005357059,0.0004054139,0.00005910692,0.00001602228],"category_scores_gemma":[0.00001140177,0.0001082923,0.0000406991,0.0007690498,0.00002061562,0.00007081963,0.00009726288,0.0001561206,0.00007788162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007014653,"about_ca_system_score_gemma":0.0000689572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002035057,"about_ca_topic_score_gemma":0.00005485727,"domain_scores_codex":[0.9988035,0.0000332302,0.0003105473,0.0004191851,0.000171584,0.0002619311],"domain_scores_gemma":[0.9994132,0.0001239867,0.0000327122,0.0003345188,0.0000331625,0.00006242927],"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":[0.000001615117,0.0001116069,0.000619794,0.0001462967,0.00003526942,0.00006425277,0.0007525425,0.001854368,0.01723153,0.8219689,0.03986209,0.1173518],"study_design_scores_gemma":[0.0001679099,0.0000134159,0.0001550975,0.0001048468,0.000001730752,0.00003077069,0.0001213948,0.8401005,0.0003928183,0.001071732,0.157607,0.000232712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01871712,0.001801423,0.9453532,0.002344777,0.0003243508,0.0003721789,0.00002852972,0.00056035,0.0304981],"genre_scores_gemma":[0.9892197,0.000003362898,0.00780893,0.0002123131,0.00007573546,0.0001083183,0.000005922841,0.000008130938,0.002557574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9705026,"threshold_uncertainty_score":0.5165825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628752542551427,"score_gpt":0.2616206740362393,"score_spread":0.245333148610725,"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."}}