{"id":"W1996225565","doi":"10.1109/tetc.2013.2273220","title":"A Wormhole Attack Resistant Neighbor Discovery Scheme With RDMA Protocol for 60 GHz Directional Network","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computing","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; Computer network; Neighbor Discovery Protocol; Remote direct memory access; Authentication (law); Broadcasting (networking); Message authentication code; Computer security; Internet Protocol; The Internet; Cryptography; Operating system","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":[0.0001505343,0.0002157417,0.000240996,0.0001493451,0.0002488661,0.0001098583,0.0001332677,0.00007566847,0.0000549593],"category_scores_gemma":[0.000003740015,0.0001964134,0.0001224438,0.0004866316,0.00003354325,0.0002374765,0.000001902366,0.0003071272,0.000008631939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170757,"about_ca_system_score_gemma":0.00002503017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004750638,"about_ca_topic_score_gemma":0.0001042645,"domain_scores_codex":[0.998759,0.00002682733,0.0003562766,0.0002739039,0.0001775843,0.0004064109],"domain_scores_gemma":[0.9995028,0.0001232638,0.00005279879,0.0002037594,0.00005848113,0.00005885074],"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":[0.00006598354,0.00008043597,0.0003301183,0.0001303504,0.0001122746,0.000004376403,0.0001441458,0.9905295,0.0009647656,0.00008837687,0.0004705698,0.007079058],"study_design_scores_gemma":[0.0007857971,0.00007281805,0.0005278635,0.0003619844,0.00001917523,0.000002674962,0.00007631542,0.9948113,0.0004972529,0.000146416,0.002407108,0.0002912891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009373917,0.000008806894,0.9795067,0.0001750007,0.0002452201,0.009922145,0.000004149376,0.0002351833,0.0005288178],"genre_scores_gemma":[0.9105806,0.000004113538,0.05909806,0.0001168828,0.0006432377,0.02809104,0.000004066604,0.00008857146,0.001373417],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9204087,"threshold_uncertainty_score":0.8009505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369885608182927,"score_gpt":0.2724109397632004,"score_spread":0.2487120836813712,"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."}}