{"id":"W1972135788","doi":"10.1007/s11432-010-4065-y","title":"A framework of physical layer technique assisted authentication for vehicular communication networks","year":2010,"lang":"en","type":"article","venue":"Science China Information Sciences","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Physical layer; Authentication (law); Computer network; Message authentication code; Public key infrastructure; Key (lock); Channel (broadcasting); Transmission (telecommunications); Public-key cryptography; Layer (electronics); Computer security; Distributed computing; Cryptography; Wireless; Telecommunications; Encryption","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":[0.002014374,0.0008480412,0.0009523174,0.001167466,0.001313639,0.002748815,0.002571478,0.001476347,0.00215299],"category_scores_gemma":[0.001991114,0.0004123562,0.0009558649,0.001042828,0.001297188,0.003135961,0.002917608,0.00145665,0.001044359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117012,"about_ca_system_score_gemma":0.002606514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003588559,"about_ca_topic_score_gemma":0.00253124,"domain_scores_codex":[0.9978929,0.0006854268,0.0001365598,0.0003685562,0.0006934402,0.0002230937],"domain_scores_gemma":[0.9992098,0.0001722506,0.00007566117,0.0002047379,0.0002739504,0.00006361813],"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":[0.0001435211,0.0001168159,0.0007943948,0.0002348166,0.0001062214,0.0004961637,0.0003788489,0.114979,0.0119742,0.7654225,0.005055858,0.1002977],"study_design_scores_gemma":[0.00002225392,0.0001590795,0.0002516375,0.00005213869,0.00007090165,0.0002592886,0.0001006465,0.8853778,0.00305087,0.09403178,0.01656966,0.00005392786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00174166,0.0003908137,0.9948748,0.0001504652,0.00009256463,0.00009607361,0.00003167627,0.0002674436,0.00235452],"genre_scores_gemma":[0.3721983,0.001781139,0.6173958,0.0001809149,0.0003450909,0.0004900111,0.000230938,0.00009345781,0.007284446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003588559,"threshold_uncertainty_score":0.01065314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125405835831108,"score_gpt":0.2799542650586749,"score_spread":0.2687002067003638,"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."}}