{"id":"W2894493142","doi":"10.1002/cpe.4719","title":"RIN: A dynamic pseudonym change system for privacy in VANET","year":2018,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pseudonym; Computer science; Vehicular ad hoc network; Anonymity; Computer security; Protocol (science); Computer network; Credibility; Intelligent transportation system; Wireless ad hoc network; Confidentiality; Telecommunications; Wireless","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001583312,0.0001200174,0.0001336533,0.00005550772,0.00009370542,0.00006835191,0.00006644622,0.0000560251,0.000003292886],"category_scores_gemma":[0.00006189931,0.0001264371,0.00001290639,0.000143957,0.00006977455,0.0006933848,0.00003010751,0.0000926844,0.000006508026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003192266,"about_ca_system_score_gemma":0.00001115315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000167767,"about_ca_topic_score_gemma":0.00001270711,"domain_scores_codex":[0.9992692,0.00003527776,0.0001920611,0.000216342,0.000080641,0.0002064102],"domain_scores_gemma":[0.9995468,0.0001822454,0.00005379121,0.00008735996,0.00006384436,0.0000659374],"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":[0.0002804299,0.0001709262,0.002193701,0.001731153,0.0001028645,0.00008560828,0.1533335,0.02973091,0.001387519,0.00866696,0.001009568,0.8013068],"study_design_scores_gemma":[0.0005161593,0.0001115124,0.001118982,0.000113852,0.00001314906,0.00009444313,0.002646177,0.9844919,0.00006741465,0.00008599817,0.01056013,0.0001802469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8942925,0.004196977,0.09925228,0.0001651222,0.0007681846,0.0005663839,0.000006457195,0.0001713935,0.0005806584],"genre_scores_gemma":[0.9974687,0.0002904981,0.001841884,0.0000912759,0.0001121286,0.0001666647,0.00001131674,0.00001220115,0.000005343922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.954761,"threshold_uncertainty_score":0.5155953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235307633497342,"score_gpt":0.3056207684327931,"score_spread":0.2820900050830589,"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."}}