{"id":"W1994650661","doi":"10.1016/j.adhoc.2010.07.018","title":"Design of a lightweight authentication scheme for IEEE 802.11p vehicular networks","year":2010,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer network; Computer science; Authentication protocol; Handover; Authentication (law); Wireless network; Lightweight Extensible Authentication Protocol; Wireless; Computer security; Telecommunications","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":[0.0007488245,0.0002408989,0.0002953883,0.00008530433,0.0001931056,0.00009631939,0.001236282,0.0002669724,0.00002046955],"category_scores_gemma":[0.00008017061,0.0002328953,0.0001317132,0.0005067849,0.0001212252,0.0005336403,0.0001500174,0.0004168169,0.00001645961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002871671,"about_ca_system_score_gemma":0.00007493271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.084159e-7,"about_ca_topic_score_gemma":0.000003953567,"domain_scores_codex":[0.9980052,0.00009614179,0.0005296615,0.0005931419,0.0002760604,0.0004998333],"domain_scores_gemma":[0.9974194,0.000388829,0.000421068,0.001269582,0.0003476822,0.0001534224],"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":[0.0002248266,0.0008915965,0.0003069139,0.0001373756,0.0001915703,0.000008450161,0.002096529,0.1865245,0.0349206,0.6104855,0.00231106,0.1619011],"study_design_scores_gemma":[0.0005553949,0.0001154668,0.0001626125,0.00003876386,0.00001883132,0.000005321991,0.000003889264,0.9533377,0.004723325,0.03612749,0.004657293,0.0002538912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001606598,0.0004275828,0.9915623,0.0002846528,0.0008446968,0.005043472,0.000001662744,0.0001950372,0.00003401442],"genre_scores_gemma":[0.5974908,0.00005534828,0.3989261,0.0001729067,0.0002665702,0.002913187,0.00001323501,0.00003362801,0.0001282297],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7668132,"threshold_uncertainty_score":0.9497195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669661257532659,"score_gpt":0.2696069562146508,"score_spread":0.2529103436393242,"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."}}