{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003450529,0.0002815321,0.0003487231,0.0002373777,0.0001791956,0.0001352967,0.0002704908,0.0001080328,0.00008061175],"category_scores_gemma":[0.00005767972,0.0002630093,0.00008337758,0.001328292,0.0001090307,0.0005855826,0.0001625754,0.0004633806,0.00002965866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001394402,"about_ca_system_score_gemma":0.00009439926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003874657,"about_ca_topic_score_gemma":0.001425108,"domain_scores_codex":[0.9978716,0.0002163548,0.0003234226,0.0006999131,0.0001849043,0.0007037651],"domain_scores_gemma":[0.9990822,0.0002911642,0.00008854594,0.0002506796,0.000147611,0.0001397901],"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":[0.0008280779,0.001295428,0.02843565,0.0000234254,0.0008082295,0.00482166,0.057987,0.004980261,0.0006928724,0.3866236,0.003470919,0.5100328],"study_design_scores_gemma":[0.001347504,0.0003534597,0.04244292,0.0001659258,0.00001669422,0.0002350953,0.0005601979,0.9402471,0.007153793,0.00667292,0.00004776394,0.0007566712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03034121,0.0001590922,0.8613258,0.0001480505,0.0003076687,0.0003291963,6.350893e-7,0.0002096744,0.1071787],"genre_scores_gemma":[0.9878994,0.00004752668,0.01106191,0.0005459484,0.0001665793,0.000002878488,0.0000022163,0.000019748,0.0002537496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9575582,"threshold_uncertainty_score":0.9999822,"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."}}