{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004332826,0.0009555025,0.0009289941,0.0009701225,0.0004036254,0.000987759,0.0007913377,0.001162311,0.0005040833],"category_scores_gemma":[0.02021099,0.0002222283,0.0003659511,0.000412449,0.0008372399,0.001676714,0.0007076862,0.0005150182,0.00008717743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195731,"about_ca_system_score_gemma":0.001176206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009809844,"about_ca_topic_score_gemma":0.0005867671,"domain_scores_codex":[0.9975074,0.001142803,0.0001533976,0.0002246168,0.0007428523,0.0002290164],"domain_scores_gemma":[0.985792,0.01141384,0.001057378,0.0004308208,0.001136514,0.0001694065],"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":[0.0007879525,0.0002357673,0.003609268,0.0001568796,0.0001127063,0.00005637042,0.00005227173,0.9221202,0.005321468,0.004108138,0.0002890313,0.06314992],"study_design_scores_gemma":[0.00002500197,0.0003438483,0.0004451775,0.000007526444,0.00001911896,0.00004657705,0.00001497289,0.9957081,0.002605778,0.0007043208,0.00007471767,0.000004824552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5953316,0.001963819,0.3979168,0.0004254894,0.00009801681,0.0003290322,0.0000572362,0.0004579274,0.003420046],"genre_scores_gemma":[0.9541667,0.0002772598,0.04510384,0.0000384749,0.00001931388,0.00007388375,0.00004137189,0.00001408557,0.0002650316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004332826,"threshold_uncertainty_score":0.02291447,"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."}}