{"id":"W1985719683","doi":"10.1016/j.comcom.2014.02.020","title":"VANET security surveys","year":2014,"lang":"en","type":"article","venue":"Computer Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":497,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Computer security; Vehicular ad hoc network; Wireless ad hoc network; Mobile ad hoc network; Computer network; Architecture; Wireless; Intelligent transportation system; Telecommunications; Transport engineering; Network packet","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":[0.0005409953,0.000122667,0.0001445164,0.00004841406,0.0001264623,0.00005512782,0.001041826,0.00006549446,0.00002616001],"category_scores_gemma":[0.000009816738,0.0001384212,0.00005243266,0.0001732094,0.0000642402,0.00008887935,0.0003434759,0.000288631,0.0002553517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003551544,"about_ca_system_score_gemma":0.000007129959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001530191,"about_ca_topic_score_gemma":0.0001552264,"domain_scores_codex":[0.9990173,0.0003745713,0.0001856759,0.0001139355,0.00008728878,0.0002212552],"domain_scores_gemma":[0.9975071,0.0002520203,0.00002193546,0.002084118,0.00004391102,0.00009093086],"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":[4.52855e-7,0.00008024441,0.001266195,0.00003221886,0.00008291817,0.000001034091,0.0004827084,0.8615304,0.00005540416,0.01273872,0.04523843,0.07849127],"study_design_scores_gemma":[0.0001039297,0.000009043968,0.004547992,0.00001210154,0.000006368486,0.000005955593,0.000001763402,0.8255679,0.00001277323,0.001074207,0.1685273,0.000130695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02018175,0.001078052,0.9512376,0.000513014,0.0005734438,0.0002084187,0.000011531,0.001279057,0.0249172],"genre_scores_gemma":[0.9720543,0.0001480289,0.02729608,0.0001278344,0.0001728886,0.00001761237,0.0001260821,0.00003068786,0.00002650586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9518725,"threshold_uncertainty_score":0.5644653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176020195934045,"score_gpt":0.2130870158711024,"score_spread":0.2013268139117619,"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."}}