{"id":"W2104733185","doi":"10.1109/music.2012.25","title":"Efficient Group Key Management in Wireless LANs","year":2012,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer network; Computer science; Latency (audio); Multicast; Key (lock); Telecommunications; Computer security","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":[0.001664701,0.0005200456,0.0008456131,0.00114088,0.0009747437,0.001418603,0.001105038,0.0005811756,0.001221595],"category_scores_gemma":[0.005423781,0.0002927199,0.0002317421,0.0018723,0.0009436961,0.004392126,0.001793917,0.0006573062,0.000515287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078029,"about_ca_system_score_gemma":0.001052784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150257,"about_ca_topic_score_gemma":0.001405545,"domain_scores_codex":[0.9983125,0.0005771859,0.0001055106,0.000166257,0.000553203,0.000285429],"domain_scores_gemma":[0.9978263,0.001000593,0.0003503232,0.0004155381,0.0003398679,0.00006737067],"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":[0.000352346,0.0001373899,0.00130253,0.0003339287,0.00005393269,0.0001811919,0.0002794247,0.6815523,0.01581507,0.06973467,0.005238925,0.2250183],"study_design_scores_gemma":[0.00005025457,0.000102128,0.0002432136,0.00001438264,0.00001308635,0.00006974135,0.0001077298,0.9600337,0.002595758,0.03413609,0.002619255,0.00001467167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07394047,0.002259607,0.9184441,0.0005116492,0.00009057289,0.0001145036,0.0000915503,0.001068248,0.003479341],"genre_scores_gemma":[0.8839296,0.0009593586,0.1131709,0.00008434722,0.00006582664,0.0001159039,0.0001700465,0.0000485603,0.001455498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001664701,"threshold_uncertainty_score":0.008803844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119547301057473,"score_gpt":0.2308112634913925,"score_spread":0.2188565333856452,"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."}}