{"id":"W2049559758","doi":"10.1109/mncapps.2012.17","title":"Game Theory for Security in Cognitive Radio Networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Cognitive radio; Computer science; Cognitive network; Game theory; Computer network; Wireless network; Wireless; Computer security; Economic shortage; Cognition; Quality of service; 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":[0.0009179962,0.0001374889,0.0001848329,0.00008292915,0.00006641399,0.00007862171,0.0002051263,0.00007274247,0.00002457708],"category_scores_gemma":[0.00006465259,0.0001227258,0.00008271919,0.0003160968,0.00004602816,0.0005059214,0.00009341369,0.000165584,0.000008256773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004604046,"about_ca_system_score_gemma":0.00002108152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000104851,"about_ca_topic_score_gemma":0.00003992873,"domain_scores_codex":[0.9987203,0.0001237485,0.0001778793,0.000265701,0.0001017174,0.0006106715],"domain_scores_gemma":[0.9986677,0.0009316119,0.00004648435,0.0001713766,0.0000573548,0.0001254486],"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":[0.00008563844,0.0002293527,0.008043042,0.00001033006,0.00004568592,0.0000123747,0.003236909,0.0001921733,0.00001077606,0.7262294,0.0009233968,0.260981],"study_design_scores_gemma":[0.001856091,0.0001336422,0.02097121,0.0001256258,0.00002304331,0.00006913779,0.0003356314,0.8883604,0.0005246339,0.08447692,0.00249874,0.0006248667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02462154,0.0009687591,0.9561884,0.0001317672,0.0004546903,0.0003280089,0.000001344839,0.0001035009,0.01720193],"genre_scores_gemma":[0.9954568,0.00003609681,0.003132798,0.0006793626,0.0004930671,0.00001676458,0.000004334647,0.00001039352,0.0001703924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9708353,"threshold_uncertainty_score":0.5004613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169246942637783,"score_gpt":0.2609496496053709,"score_spread":0.2440249553415926,"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."}}