{"id":"W4289550335","doi":"10.1007/s12083-022-01363-y","title":"A high performance two-layer consensus architecture for blockchain-based IoT systems","year":2022,"lang":"en","type":"article","venue":"Peer-to-Peer Networking and Applications","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Blockchain; Computer science; Distributed computing; Byzantine fault tolerance; Layer (electronics); Markov chain; Overlay; Architecture; Computer network; Cluster (spacecraft); Protocol (science); Fault tolerance; Operating system; Computer security","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":[0.000855937,0.0003886021,0.0006555254,0.0004019089,0.0009815926,0.00125155,0.001443878,0.0008547023,0.00379453],"category_scores_gemma":[0.001339285,0.0003036941,0.0002670758,0.0005070437,0.0004909592,0.001567375,0.001608623,0.0009787434,0.0006859191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007402234,"about_ca_system_score_gemma":0.001389963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935414,"about_ca_topic_score_gemma":0.003322649,"domain_scores_codex":[0.9994065,0.0001206196,0.0000443725,0.0000918071,0.0002461891,0.0000906092],"domain_scores_gemma":[0.9992182,0.0001812766,0.0000460688,0.0001804723,0.0002710215,0.0001028803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00116873,0.0003521017,0.001537948,0.0002928564,0.0001186124,0.0005564531,0.0003911484,0.6786997,0.07265967,0.08009294,0.008886192,0.1552437],"study_design_scores_gemma":[0.00003980409,0.00008234766,0.00008945347,0.000005635142,0.00001062567,0.00003290438,0.000019564,0.9854758,0.004625774,0.00792125,0.001684478,0.00001219541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1110933,0.0004329371,0.8743608,0.0006898432,0.0002148661,0.0002497875,0.0001469389,0.002862502,0.009948997],"genre_scores_gemma":[0.9329396,0.0001361238,0.06169127,0.00007385213,0.00003478634,0.000122154,0.0001580417,0.00006326312,0.004780911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00379453,"threshold_uncertainty_score":0.01269394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587376005181594,"score_gpt":0.2503355123815746,"score_spread":0.2344617523297587,"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."}}