{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008795023,0.0002387013,0.0002752768,0.0002630553,0.001609706,0.0001149796,0.001023878,0.00008343739,0.000003827094],"category_scores_gemma":[0.00002121335,0.0002537581,0.00006106665,0.001264352,0.00007488939,0.000002880317,0.0004159185,0.0003989936,0.00001252914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007738025,"about_ca_system_score_gemma":0.00008338428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000746077,"about_ca_topic_score_gemma":0.0000139123,"domain_scores_codex":[0.9978303,0.00005997525,0.0003464105,0.0007985272,0.0004424024,0.0005224232],"domain_scores_gemma":[0.998028,0.0003159249,0.0001333059,0.001018581,0.0002952306,0.0002090039],"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":[0.00002147623,0.0001383983,0.0002815732,0.00003382662,0.00003102795,0.000001175243,0.0003753443,0.7870774,0.0004026298,0.1177854,0.00738464,0.08646715],"study_design_scores_gemma":[0.0004309148,0.0001233665,0.0001421594,0.00001248566,0.00001841805,0.00003392846,0.00005314652,0.528266,0.0001855541,0.003330414,0.4670992,0.0003043958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3139663,0.000296208,0.6354163,0.04624197,0.0003352874,0.002740474,0.0001286317,0.0006835768,0.0001912637],"genre_scores_gemma":[0.9433863,5.731139e-7,0.04360805,0.001634873,0.0003841657,0.01031596,0.00002028016,0.00002751255,0.000622241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.62942,"threshold_uncertainty_score":0.9999915,"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."}}