{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01262331,0.0002412357,0.0004961586,0.001707436,0.0003973905,0.00007544483,0.002920918,0.0004785769,0.0002939024],"category_scores_gemma":[0.00079489,0.0002714387,0.0001484052,0.0007383844,0.0002226866,0.00003080575,0.001660096,0.001254631,0.0001339502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001879585,"about_ca_system_score_gemma":0.005565789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004610418,"about_ca_topic_score_gemma":0.0000487981,"domain_scores_codex":[0.9954287,0.0004220835,0.0007120491,0.001055344,0.001857289,0.0005245624],"domain_scores_gemma":[0.9960676,0.001479408,0.0003008863,0.001103527,0.0008954984,0.0001530334],"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":[0.000008843796,0.00009417145,0.000003782673,0.00002897895,0.00008037506,0.000004906439,0.00009105231,0.00263465,0.00004251445,0.937128,0.05680151,0.003081198],"study_design_scores_gemma":[0.0001666397,0.0001631694,0.000009109697,0.00001467865,0.000005160299,0.00006952112,0.00005005913,0.03270996,0.001169345,0.9359237,0.02946246,0.0002561834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001869122,0.002067299,0.1317704,0.04951641,0.002011573,0.008167519,0.0004752363,0.0006695253,0.8034529],"genre_scores_gemma":[0.8308938,0.0003045553,0.1499201,0.0001833993,0.0006757127,0.004230904,0.0001879535,0.0001084925,0.01349512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8290246,"threshold_uncertainty_score":0.9999738,"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."}}