{"id":"W3136753322","doi":"10.1109/access.2021.3065880","title":"A Comprehensive Review of Blockchain Consensus Mechanisms","year":2021,"lang":"en","type":"review","venue":"IEEE Access","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":466,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Government of Alberta","keywords":"Blockchain; Distributed ledger; Computer science; Ledger; Consensus algorithm; Data science; Class (philosophy); Distributed database; Distributed computing; Computer security; Artificial intelligence; Business; Accounting","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001184634,0.0009429757,0.001060493,0.00363883,0.0004304849,0.00113103,0.001058731,0.001107629,0.004160835],"category_scores_gemma":[0.002749154,0.0004344352,0.0005617512,0.003823544,0.0004454765,0.002203788,0.0006416854,0.001059818,0.001855512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008033381,"about_ca_system_score_gemma":0.00255425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248454,"about_ca_topic_score_gemma":0.001269678,"domain_scores_codex":[0.999409,0.000110001,0.00009411544,0.0001005323,0.0002365811,0.00004978205],"domain_scores_gemma":[0.9984406,0.0009234654,0.0001690955,0.00005618665,0.0003549096,0.00005574812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006729904,0.00008455298,0.0002682349,0.03677225,0.0001173495,0.0001551656,0.0001121692,0.001575796,0.001545244,0.01810317,0.03210038,0.9090984],"study_design_scores_gemma":[0.000009680828,0.0001422861,0.0005483949,0.007765926,0.0001248635,0.0005334112,0.00005741516,0.0003030468,0.0007502213,0.004016434,0.9857228,0.00002551203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002350739,0.9960362,0.0007549956,0.0002647397,0.000212423,0.00001210151,0.00003338149,0.00001611316,0.002435045],"genre_scores_gemma":[0.002300861,0.9954624,0.0008596857,0.0002226524,0.000234809,0.00001633604,0.00006812224,0.000004615546,0.0008305127],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004160835,"threshold_uncertainty_score":0.01391935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0712045611147287,"score_gpt":0.3691050161943308,"score_spread":0.2979004550796021,"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."}}