{"id":"W2121320520","doi":"10.1002/sec.134","title":"Performance analysis of secure on‐demand services for wireless vehicular networks","year":2009,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Computer network; Scalability; Latency (audio); Software deployment; Wireless; Service (business); Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007406176,0.0002192679,0.0004600832,0.0001491249,0.0003590973,0.0001295139,0.001456366,0.0002365307,0.000004730671],"category_scores_gemma":[0.000004265842,0.0002143768,0.0001666399,0.001204943,0.0000887769,0.000391053,0.0002451587,0.0003761427,5.341024e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002185663,"about_ca_system_score_gemma":0.00001551008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001315519,"about_ca_topic_score_gemma":0.00008055058,"domain_scores_codex":[0.9984123,0.0001984274,0.000442672,0.0004006013,0.0002105172,0.0003355086],"domain_scores_gemma":[0.9973562,0.000345889,0.0003314732,0.00167355,0.0001831097,0.0001097504],"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":[0.00007914781,0.0002145819,0.002005678,0.00004886879,0.0003860867,6.923018e-7,0.0017691,0.8283046,0.000004849549,0.09183781,0.0003050594,0.07504347],"study_design_scores_gemma":[0.0003507689,0.0001981556,0.009035314,0.0001097284,0.0001851951,0.000001489215,0.0000418536,0.9871464,0.00001769314,0.001836986,0.0008613843,0.0002150655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.484722,0.009591561,0.5018064,0.001303576,0.0001624624,0.0008633546,0.000008077223,0.0002114404,0.001331158],"genre_scores_gemma":[0.9923813,0.00479081,0.001632881,0.0009592767,0.00007044245,0.0000454246,0.000100349,0.000008713673,0.00001076821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5076594,"threshold_uncertainty_score":0.8742031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006859344815508339,"score_gpt":0.2284810904356573,"score_spread":0.221621745620149,"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."}}