{"id":"W2119656634","doi":"10.1109/glocom.2008.ecp.129","title":"ECMV: Efficient Certificate Management Scheme for Vehicular Networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Revocation list; Certificate; Computer science; Scheme (mathematics); Interoperability; Computer network; Certificate authority; Computer security; Public-key cryptography; Algorithm; Mathematics; World Wide Web; Encryption","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001756344,0.0002522345,0.0002261633,0.00007918866,0.0001498599,0.00002938542,0.0002435195,0.0001196561,0.00008747813],"category_scores_gemma":[0.000004057535,0.0002433906,0.0001601561,0.0002414367,0.00004210565,0.00004668191,0.00005801117,0.0001627803,0.0001470179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009807874,"about_ca_system_score_gemma":0.000005459088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002761497,"about_ca_topic_score_gemma":0.000003126526,"domain_scores_codex":[0.9984953,0.00001332273,0.0002987078,0.0003178724,0.0002115567,0.0006631944],"domain_scores_gemma":[0.9992731,0.00003382865,0.00002459892,0.0004743614,0.00003962685,0.0001545322],"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":[0.000008554143,0.00003112964,0.00005288561,0.00004803758,0.0001177104,0.00004695624,0.00002331837,0.9745582,0.0001477821,0.001219387,0.02229309,0.001452966],"study_design_scores_gemma":[0.0004749277,0.0000168362,0.0004942878,0.00001946853,0.00002699764,0.00002402167,0.00001276465,0.9417703,0.0005330793,0.00002437808,0.05630232,0.0003006131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1640735,0.001442854,0.8158363,0.0001324509,0.0008130325,0.001204688,0.000004171742,0.001360852,0.01513226],"genre_scores_gemma":[0.980889,0.0002289165,0.01658819,0.0001408953,0.0002426759,0.0002002308,0.0000429574,0.00009528644,0.00157183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8168156,"threshold_uncertainty_score":0.9925181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03177684641759863,"score_gpt":0.2098351912855525,"score_spread":0.1780583448679539,"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."}}