{"id":"W2061540683","doi":"10.1145/2069000.2069018","title":"Secure service discovery protocol for intelligent transport systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Service discovery; Computer science; Correctness; Scalability; Computer security; Vehicular ad hoc network; Intelligent transportation system; Service (business); Protocol (science); Computer network; Vehicular communication systems; Scheme (mathematics); Wireless ad hoc network; World Wide Web; Telecommunications; Wireless; Web service; Database; Engineering","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":[0.00244808,0.0007085395,0.0009738104,0.001412282,0.001937785,0.002283786,0.001342008,0.001596678,0.002749137],"category_scores_gemma":[0.006527161,0.0004974258,0.0007998202,0.001751275,0.002319128,0.003954089,0.003135429,0.002620451,0.001035035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002820025,"about_ca_system_score_gemma":0.003672198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002203154,"about_ca_topic_score_gemma":0.001524774,"domain_scores_codex":[0.9966478,0.0008231484,0.0003618982,0.0002715797,0.001530493,0.0003651387],"domain_scores_gemma":[0.9957748,0.001822456,0.0003688942,0.001009214,0.0008796908,0.0001448897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005758351,0.0001404054,0.0007065716,0.0005565288,0.00009675448,0.0006724263,0.0006657754,0.08089224,0.0199109,0.7717274,0.01206598,0.1119892],"study_design_scores_gemma":[0.0002632886,0.0002803146,0.0002860678,0.0001180325,0.0001073187,0.0007926823,0.0001865217,0.6176017,0.02063604,0.3016302,0.05798828,0.0001095551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01674756,0.001044048,0.9667177,0.001503986,0.0004039939,0.0006123609,0.0001892342,0.001346383,0.01143472],"genre_scores_gemma":[0.6829986,0.001776997,0.2986226,0.0006161706,0.0002870243,0.001605342,0.0008467254,0.0001883477,0.01305827],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002820025,"threshold_uncertainty_score":0.02046084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03933866062946639,"score_gpt":0.2417665832829486,"score_spread":0.2024279226534822,"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."}}