{"id":"W3091685380","doi":"10.1109/worlds450073.2020.9210358","title":"Performance Evaluation of Distributed Ledger Technologies for IoT data registry : A Comparative Study","year":2020,"lang":"en","type":"article","venue":"2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Blockchain; Computer science; Internet of Things; Overhead (engineering); 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":[0.009719715,0.000947806,0.001296826,0.002753532,0.0009842133,0.002611195,0.001995915,0.001342031,0.004653974],"category_scores_gemma":[0.02347392,0.0003163232,0.0006114164,0.00302939,0.0008785127,0.004512999,0.001585819,0.0008477484,0.0007962408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002722384,"about_ca_system_score_gemma":0.001497974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003073534,"about_ca_topic_score_gemma":0.002303676,"domain_scores_codex":[0.9907713,0.003559769,0.0007685043,0.001013152,0.002679713,0.001207608],"domain_scores_gemma":[0.9633919,0.02391102,0.001989179,0.004024242,0.00534608,0.001337575],"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":[0.01229243,0.002682875,0.0328629,0.002171866,0.0005682531,0.0006493035,0.0007276859,0.611169,0.02562037,0.01773888,0.008884296,0.2846322],"study_design_scores_gemma":[0.0004635784,0.005830482,0.01441256,0.0001280637,0.000311631,0.0005529623,0.001235147,0.9433108,0.02392365,0.003846704,0.005875623,0.0001088654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467558,0.004243795,0.02764122,0.0005583831,0.0001628717,0.0004600794,0.0007061345,0.001444588,0.01802717],"genre_scores_gemma":[0.992956,0.0004669938,0.005036884,0.00001917412,0.00001421979,0.00005791197,0.0003765876,0.00004283482,0.001029302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009719715,"threshold_uncertainty_score":0.0514034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144858485101577,"score_gpt":0.3443147635691509,"score_spread":0.2298289150589932,"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."}}