{"id":"W4206923257","doi":"10.1109/gcwkshps52748.2021.9682140","title":"Secure AI and Blockchain-enabled Framework in Smart Vehicular Networks","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Globecom Workshops (GC Wkshps)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University; University of Guelph","funders":"","keywords":"Computer science; Blockchain; Block (permutation group theory); Throughput; Computer network; Computer security; Internet of Things; Drone; Vehicular ad hoc network; The Internet; Wireless; Distributed computing; Telecommunications; Wireless ad hoc network","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":[0.0009873356,0.0003348556,0.0005642916,0.0004040945,0.0007203419,0.0009388944,0.000984679,0.000734596,0.002230853],"category_scores_gemma":[0.001416301,0.0002120377,0.0004305803,0.0003691474,0.0008909167,0.001776641,0.001454018,0.0008421326,0.0003193095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233683,"about_ca_system_score_gemma":0.00251926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126815,"about_ca_topic_score_gemma":0.01050418,"domain_scores_codex":[0.9993309,0.0001541248,0.00004829342,0.0001336702,0.0002027484,0.0001303716],"domain_scores_gemma":[0.9994001,0.0002015654,0.00007094144,0.0001099354,0.0001512399,0.00006630169],"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":[0.0001917934,0.00007180884,0.001683294,0.00008197309,0.00003925243,0.0002549747,0.0001329186,0.8962772,0.004198085,0.04572,0.001025003,0.05032371],"study_design_scores_gemma":[0.000009087224,0.00002677213,0.00009392406,0.000005312109,0.000005616889,0.00002189847,0.00001389535,0.9860334,0.001198091,0.01158496,0.001002093,0.000005040828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08630022,0.0006183184,0.9026264,0.0007563372,0.0001087466,0.0001648656,0.0002105318,0.001489742,0.007724776],"genre_scores_gemma":[0.9398084,0.0003286387,0.05559897,0.00009670044,0.00002279804,0.0001039101,0.0001920968,0.0000356129,0.003812968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01126815,"threshold_uncertainty_score":0.02240509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006347856313333221,"score_gpt":0.2302076091744527,"score_spread":0.2238597528611194,"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."}}