{"id":"W2931173859","doi":"10.1002/itl2.100","title":"Comparative evaluation of consensus mechanisms in cryptocurrencies","year":2019,"lang":"en","type":"article","venue":"Internet Technology Letters","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Cryptocurrency; Computer science; Mechanism (biology); Incentive; Proof-of-work system; Set (abstract data type); Consensus; Consensus algorithm; Computer security; Data science; Artificial intelligence; Multi-agent system; Economics; Microeconomics","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":[0.03263078,0.0008685548,0.001498521,0.005767698,0.001221502,0.002502436,0.002397088,0.002191867,0.002906578],"category_scores_gemma":[0.04166758,0.0003478653,0.0007264886,0.005449332,0.001513775,0.00389991,0.001810522,0.0008583148,0.0003787348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002908614,"about_ca_system_score_gemma":0.001249227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008128745,"about_ca_topic_score_gemma":0.0007486673,"domain_scores_codex":[0.968012,0.0180448,0.001976133,0.001092186,0.009477257,0.001397634],"domain_scores_gemma":[0.9341313,0.04446394,0.004199521,0.005539896,0.01031207,0.001353299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01719381,0.004282447,0.01984598,0.01180619,0.001887765,0.0007561772,0.002648745,0.2423956,0.03614518,0.1499818,0.005711266,0.5073451],"study_design_scores_gemma":[0.003495839,0.05962653,0.04015456,0.002823155,0.002718383,0.0022602,0.006237373,0.5813841,0.1630887,0.04519769,0.09238567,0.0006277813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8997943,0.02520771,0.04048651,0.0007779335,0.0002768639,0.00109762,0.0004508579,0.000525634,0.03138256],"genre_scores_gemma":[0.9797102,0.003633102,0.01446406,0.00004380741,0.00005418921,0.0001986754,0.0002300742,0.00004401301,0.001621841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03263078,"threshold_uncertainty_score":0.1725702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322543217386045,"score_gpt":0.278372764180799,"score_spread":0.2551473320069386,"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."}}