{"id":"W1995304570","doi":"10.1145/1815396.1815411","title":"Evaluation of security algorithms that combat Byzantine failures in Cognitive Radio Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Cognitive radio; Algorithm; Base station; Bandwidth (computing); Wireless; Computer network; Spectrum management; Telecommunications","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":[0.002378463,0.0001680647,0.0002704876,0.0001599261,0.00007078672,0.00009295973,0.0003060201,0.0001171472,0.0001171891],"category_scores_gemma":[0.0001557811,0.0001519747,0.0000757876,0.0005467205,0.000105409,0.0004035428,0.0001376037,0.0004235581,0.000003297812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002030495,"about_ca_system_score_gemma":0.00009461985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000262651,"about_ca_topic_score_gemma":0.002332807,"domain_scores_codex":[0.9980159,0.000248756,0.0002791631,0.0004085322,0.0007132019,0.0003344216],"domain_scores_gemma":[0.9986485,0.0003650774,0.0001364762,0.0002899936,0.0004818965,0.00007807787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003496118,0.0004401037,0.01710193,0.00001163173,0.0001167784,0.00004090946,0.002198215,0.002160482,0.001020389,0.03578029,0.000572837,0.9405215],"study_design_scores_gemma":[0.001210414,0.00004886459,0.03083957,0.0000510059,0.00003373856,0.00002761794,0.0001085532,0.9611872,0.002750808,0.003471531,0.00007689987,0.0001937269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5474537,0.0004087512,0.436616,0.0005220137,0.0008190783,0.0005346821,0.000002497094,0.00009719125,0.01354609],"genre_scores_gemma":[0.9955884,0.00003207092,0.004093032,0.00009102992,0.0001559876,0.000007096774,0.000007306501,0.000008947605,0.00001616434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9590268,"threshold_uncertainty_score":0.6197348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681968267314693,"score_gpt":0.2844915851017953,"score_spread":0.2576719024286483,"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."}}