{"id":"W3045430915","doi":"10.3390/fi12080125","title":"Improving Transaction Speed and Scalability of Blockchain Systems via Parallel Proof of Work","year":2020,"lang":"en","type":"article","venue":"Future Internet","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Scalability; Cryptocurrency; Proof-of-work system; Database transaction; Proof of concept; Blockchain; Transaction processing; Process (computing); Distributed computing; Block (permutation group theory); Distributed ledger; Distributed transaction; Cloud computing; Work (physics); Database; Computer security; Operating system","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":[0.007433944,0.0007974226,0.0009669386,0.001670689,0.001393163,0.002304464,0.001880194,0.00102259,0.004532359],"category_scores_gemma":[0.02852799,0.0006587188,0.0004361036,0.001320983,0.001194456,0.006664343,0.003267459,0.001408516,0.0009158829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000955102,"about_ca_system_score_gemma":0.002031293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256044,"about_ca_topic_score_gemma":0.001219599,"domain_scores_codex":[0.994238,0.001982881,0.0004087847,0.0006879857,0.002082191,0.0006000669],"domain_scores_gemma":[0.9709978,0.01611407,0.002018216,0.006618225,0.003334992,0.0009166392],"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":[0.003273868,0.0008359884,0.01126108,0.000620952,0.0001555716,0.0007250013,0.001308367,0.362458,0.07326604,0.05487521,0.004287316,0.4869326],"study_design_scores_gemma":[0.000262911,0.0003210071,0.0009280632,0.00004196598,0.00004015022,0.0002431467,0.0001811727,0.9442816,0.02483428,0.02576508,0.003061867,0.00003875312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4016607,0.0009234507,0.58038,0.0009505692,0.0001181522,0.000607698,0.0001512808,0.004593189,0.0106149],"genre_scores_gemma":[0.8656975,0.0002397061,0.1320243,0.00003392982,0.00003234332,0.0001860466,0.0001253123,0.0001693706,0.001491384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007433944,"threshold_uncertainty_score":0.03931499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008582020558742118,"score_gpt":0.204596991692765,"score_spread":0.1960149711340229,"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."}}