{"id":"W2465522212","doi":"10.1109/tvt.2015.2466651","title":"Private and Flexible Urban Message Delivery","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Japan Society for the Promotion of Science; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Engineering; Telecommunications","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":[0.001183597,0.0003941722,0.0005791285,0.000473215,0.001001611,0.001033919,0.001325785,0.0008688983,0.002335034],"category_scores_gemma":[0.003898295,0.0002820723,0.000308214,0.0007569845,0.001109177,0.002387089,0.002797378,0.0009908684,0.0006948843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009417533,"about_ca_system_score_gemma":0.0008208202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563001,"about_ca_topic_score_gemma":0.001804316,"domain_scores_codex":[0.998973,0.0002659533,0.00004540514,0.0001768387,0.0003123849,0.0002264555],"domain_scores_gemma":[0.9978599,0.000692679,0.0002249954,0.0008647471,0.0002582422,0.00009947764],"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":[0.0009318417,0.0001681602,0.002101873,0.0001568925,0.00004766638,0.0005122594,0.0007071428,0.6044146,0.0243969,0.2344754,0.008920273,0.123167],"study_design_scores_gemma":[0.00004687634,0.00007214244,0.0003529829,0.000009622019,0.0000119847,0.0001404523,0.000124415,0.9257013,0.006443208,0.05928706,0.007784132,0.00002580259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.125142,0.0003930977,0.8580279,0.001013423,0.0001153194,0.0001308329,0.0003909756,0.001326931,0.01345953],"genre_scores_gemma":[0.971414,0.0001632002,0.02377561,0.00006725097,0.00002929654,0.00004234882,0.0001573295,0.00005533841,0.004295562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002335034,"threshold_uncertainty_score":0.007811487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416977356883666,"score_gpt":0.2257217885225911,"score_spread":0.2115520149537544,"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."}}