{"id":"W2956303394","doi":"10.3390/s19143165","title":"A Blockchain Framework for Securing Connected and Autonomous Vehicles","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gnowit (Canada)","funders":"","keywords":"Computer security; Computer science; Context (archaeology); Authentication (law); Key (lock); Compromise; Vehicular ad hoc network; Service (business); The Internet; Adversary; Computer network; Wireless; 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":[0.001313108,0.0004198936,0.0005705357,0.0005808455,0.00124925,0.001461708,0.001111234,0.00115527,0.005300688],"category_scores_gemma":[0.002125877,0.0002726852,0.0003973156,0.0006469465,0.001104442,0.002378178,0.001821494,0.0009185497,0.0008857572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035731,"about_ca_system_score_gemma":0.002457565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00613151,"about_ca_topic_score_gemma":0.005489569,"domain_scores_codex":[0.9990786,0.0002862889,0.00006404892,0.0001183924,0.0003126382,0.0001399142],"domain_scores_gemma":[0.9990472,0.0003568119,0.0001004232,0.00017816,0.0001948363,0.0001225195],"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":[0.0004594298,0.000192213,0.001566975,0.000337278,0.00007190369,0.001245257,0.0006279419,0.5335649,0.01247115,0.3234031,0.004410342,0.1216495],"study_design_scores_gemma":[0.0001162696,0.000189228,0.0002091876,0.00005719657,0.00002312811,0.0002199654,0.00008608326,0.8854708,0.004126487,0.08510709,0.02436285,0.00003169733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0449116,0.00102231,0.937601,0.0006212219,0.0001556367,0.0005188019,0.0002416468,0.001126734,0.01380108],"genre_scores_gemma":[0.855255,0.001075803,0.1317695,0.0001017531,0.00007344714,0.0005006253,0.0003694232,0.0000634301,0.01079118],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00613151,"threshold_uncertainty_score":0.01773262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008675220321673546,"score_gpt":0.2336912434299229,"score_spread":0.2250160231082494,"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."}}