{"id":"W4283326825","doi":"10.3386/w30189","title":"Mechanism Design Approaches to Blockchain Consensus","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scalability; Construct (python library); Byzantine fault tolerance; Robustness (evolution); Consensus; Consensus algorithm; Voting; Computer security; Distributed computing; Theoretical computer science; Fault tolerance; Computer network; Multi-agent system; Artificial intelligence; Algorithm","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":[0.007315126,0.000943377,0.0008973997,0.001276294,0.001412728,0.003414258,0.003269276,0.00325327,0.006592163],"category_scores_gemma":[0.01398184,0.0008705026,0.001332565,0.001455319,0.004695216,0.005741342,0.003681483,0.003608155,0.0009970032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002766772,"about_ca_system_score_gemma":0.002593002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007102997,"about_ca_topic_score_gemma":0.0005265182,"domain_scores_codex":[0.9948347,0.002432051,0.0003794772,0.0006009841,0.001402501,0.0003503645],"domain_scores_gemma":[0.9917651,0.004595737,0.000840979,0.001649796,0.0008136114,0.0003347776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002082506,0.0000348081,0.00009705297,0.0001626825,0.00003215667,0.00006432508,0.0001853007,0.03068919,0.0006813428,0.9582391,0.0007135221,0.009079574],"study_design_scores_gemma":[0.00008017336,0.00007013275,0.00004161621,0.0000606821,0.00002559322,0.00007480124,0.00005021132,0.105384,0.001144157,0.8807331,0.01231495,0.00002071525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004113268,0.0006042855,0.9847707,0.00133426,0.00009891963,0.0002733906,0.00004288061,0.0001418803,0.008620321],"genre_scores_gemma":[0.4005642,0.002462253,0.5799839,0.0006841313,0.000354637,0.002156647,0.0001404054,0.0001068081,0.01354689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007315126,"threshold_uncertainty_score":0.03868657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5472638272522976,"score_gpt":0.4529954896263375,"score_spread":0.0942683376259601,"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."}}