{"id":"W2017744290","doi":"10.1109/glocom.2011.6134432","title":"Selective Cooperative Spectrum Sensing in Cognitive Radio Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cognitive radio; Reliability (semiconductor); Computer science; Overhead (engineering); Base station; Scheme (mathematics); Computer network; Spectrum (functional analysis); Distributed computing; Telecommunications; Wireless","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":[0.0009643233,0.0004217456,0.0003630295,0.0003082276,0.0003430824,0.0004526117,0.000754881,0.0005808646,0.000212151],"category_scores_gemma":[0.002309365,0.000230989,0.0002574152,0.0003681872,0.0009446803,0.000682643,0.0006652178,0.000329052,0.00008007823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003492316,"about_ca_system_score_gemma":0.0004224543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088842,"about_ca_topic_score_gemma":0.0009836087,"domain_scores_codex":[0.9992973,0.0002388877,0.00002404189,0.0001048853,0.0002542057,0.00008070835],"domain_scores_gemma":[0.9989134,0.0007245229,0.0001134222,0.0001068771,0.0001129881,0.00002881901],"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":[0.0003055025,0.00009941803,0.001453096,0.0003750803,0.0001175495,0.0006923979,0.0006003823,0.6406375,0.05809868,0.1253959,0.00148098,0.1707435],"study_design_scores_gemma":[0.0000380988,0.0001908279,0.0003403375,0.00001628044,0.00003766787,0.0002771785,0.0000503099,0.9513931,0.005332509,0.04029467,0.002007404,0.00002158608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07691192,0.001997892,0.9176815,0.0001987486,0.00005628987,0.00003669621,0.00001393244,0.0001262858,0.002976746],"genre_scores_gemma":[0.9627902,0.0007352027,0.03569607,0.00006617632,0.0000561388,0.00004594316,0.000009966236,0.000005145809,0.000595262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001088842,"threshold_uncertainty_score":0.005099893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394161543251115,"score_gpt":0.2365435800448973,"score_spread":0.2126019646123862,"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."}}