{"id":"W4412634700","doi":"10.54254/2753-8818/2025.25474","title":"An Improved PBFT Consensus Algorithm Based on the Raft Voting Mechanism and DAG Ledger Structure","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Distributed ledger; Consensus algorithm; Mechanism (biology); Raft; Voting; Computer science; Algorithm; Majority rule; Blockchain; Artificial intelligence; Political science; Computer security; Chemistry; Philosophy; Epistemology; Law","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":[0.00106501,0.000630827,0.001222018,0.001198318,0.001276565,0.0009978642,0.002626444,0.001118012,0.002581006],"category_scores_gemma":[0.003145617,0.0003269036,0.0006005567,0.001613088,0.0007871715,0.002385257,0.00152028,0.001167699,0.0007915696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232342,"about_ca_system_score_gemma":0.002833453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007416608,"about_ca_topic_score_gemma":0.006486296,"domain_scores_codex":[0.9988229,0.0002214189,0.00007337445,0.0002780968,0.0003966693,0.0002076033],"domain_scores_gemma":[0.9987066,0.0002573104,0.0001085457,0.0002959707,0.0005370342,0.00009453218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005316967,0.0001230622,0.001658686,0.0001916367,0.00009666227,0.0003059164,0.0003898436,0.44351,0.02371023,0.05856312,0.006776196,0.4641429],"study_design_scores_gemma":[0.00009633187,0.0001291279,0.000189271,0.00001107588,0.00002086331,0.000182475,0.00005394028,0.9707271,0.00621424,0.01650539,0.005832168,0.00003806693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01755644,0.0001743605,0.9789979,0.0001410324,0.0000797652,0.0001100654,0.00005701301,0.0006608528,0.002222577],"genre_scores_gemma":[0.4600967,0.0002712224,0.531072,0.0001750829,0.00007732476,0.0002733788,0.000366485,0.0001184558,0.007549372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007416608,"threshold_uncertainty_score":0.01474684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002980735233780177,"score_gpt":0.2226402738060184,"score_spread":0.2196595385722383,"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."}}