{"id":"W2619874469","doi":"10.1007/978-3-319-60033-8_32","title":"Achieving Secure and Seamless IP Communications for Group-Oriented Software Defined Vehicular Networks","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; IPsec; Computer network; Roaming; Mobility management; Software-defined networking; Handover; OpenFlow; IPv6; The Internet; 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":[0.0003749699,0.0008375236,0.0003493518,0.0005159887,0.000451554,0.001590999,0.0009581772,0.000742592,0.003305095],"category_scores_gemma":[0.0009033701,0.0003426552,0.0002973469,0.0006066878,0.0006532021,0.00182297,0.00271999,0.001532478,0.00200494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004347276,"about_ca_system_score_gemma":0.0004219647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003694311,"about_ca_topic_score_gemma":0.0004591223,"domain_scores_codex":[0.9995433,0.00005038756,0.00002288515,0.00004730566,0.0002433598,0.00009283001],"domain_scores_gemma":[0.9997358,0.00007802183,0.00001956584,0.00008411235,0.00006352767,0.00001899506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009779906,0.00005765805,0.0003104308,0.0003819757,0.00004577533,0.0003137305,0.0003686719,0.05939021,0.02991219,0.3827011,0.01699411,0.5094264],"study_design_scores_gemma":[0.00002487746,0.0001918999,0.000385342,0.0001682467,0.00005167516,0.001014114,0.0002537084,0.3724367,0.04039145,0.4286503,0.1563938,0.00003787865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01417839,0.003750485,0.9398099,0.0005380103,0.0004432056,0.00006131062,0.00005174761,0.001000408,0.04016648],"genre_scores_gemma":[0.6717516,0.01053117,0.2727665,0.000367226,0.0005235544,0.0001545614,0.0004071933,0.0004039448,0.04309415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003305095,"threshold_uncertainty_score":0.01105666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312888494817093,"score_gpt":0.2293001015961071,"score_spread":0.2161712166479362,"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."}}