{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00214933,0.0004663986,0.000592523,0.0005008072,0.001058633,0.0006332452,0.001260648,0.000809467,0.001557216],"category_scores_gemma":[0.00439278,0.0002704817,0.0002894077,0.0006125091,0.0008141354,0.001971806,0.001587952,0.0008458787,0.000356165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005001184,"about_ca_system_score_gemma":0.001029198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460433,"about_ca_topic_score_gemma":0.001275034,"domain_scores_codex":[0.9986801,0.0004656105,0.00006386993,0.0001770975,0.0004112381,0.0002022293],"domain_scores_gemma":[0.9971067,0.001362415,0.0002787404,0.0007433206,0.000367379,0.0001413988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001203468,0.0002411453,0.004819809,0.0002850487,0.00008579659,0.0008844696,0.0008201186,0.6952821,0.05948602,0.04353921,0.002515055,0.1908376],"study_design_scores_gemma":[0.00005856069,0.0002125231,0.0003745388,0.00001447485,0.00001563255,0.0001804615,0.00007917754,0.9677917,0.01742654,0.01143585,0.002391444,0.0000191364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1663711,0.0003312546,0.8282645,0.0002804161,0.00005318148,0.0001848487,0.00003323793,0.001742579,0.002738753],"genre_scores_gemma":[0.9247497,0.0001211115,0.07381891,0.00003636987,0.00001942186,0.00007819723,0.00002566512,0.00004576288,0.001104956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00214933,"threshold_uncertainty_score":0.01136684,"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."}}