{"id":"W3006016495","doi":"10.1109/tvt.2020.2974005","title":"Lightweight Blockchain Consensus Protocols for Vehicular Social Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Blockchain; Scheme (mathematics); Bridge (graph theory); Consensus algorithm; Cryptocurrency; Protocol (science); Distributed computing; Communications protocol; Computer network; Computer security; Algorithm","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":[0.001139057,0.0004662099,0.0006712586,0.000573501,0.000801091,0.0009233649,0.001033988,0.0007729907,0.001562212],"category_scores_gemma":[0.003213407,0.000209119,0.0003042279,0.0008155159,0.0007120903,0.001932809,0.00191508,0.0009000127,0.000449303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007822143,"about_ca_system_score_gemma":0.001055135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054757,"about_ca_topic_score_gemma":0.001308998,"domain_scores_codex":[0.998777,0.0003780962,0.0000833685,0.0001143019,0.0005300875,0.0001172227],"domain_scores_gemma":[0.9983228,0.0007140261,0.0002539643,0.00031344,0.0002815105,0.000114306],"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":[0.0003027327,0.000110676,0.0007864997,0.0003633247,0.0000764892,0.0004617629,0.0003908797,0.5982947,0.02881138,0.260053,0.002827585,0.1075209],"study_design_scores_gemma":[0.00005639422,0.0001523007,0.0001438408,0.0000260517,0.00001762365,0.00009902876,0.00006400536,0.8915365,0.006421404,0.09294655,0.008511929,0.00002437766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02744437,0.0003946528,0.9677982,0.0002471738,0.00009585136,0.0001584369,0.00005547154,0.0004254021,0.003380337],"genre_scores_gemma":[0.8638974,0.0007826724,0.1279084,0.00009418178,0.0001020797,0.0004385797,0.0002458145,0.00006460716,0.006466294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001562212,"threshold_uncertainty_score":0.006024003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923489402542883,"score_gpt":0.2579258242463448,"score_spread":0.238690930220916,"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."}}