{"id":"W2149898670","doi":"10.1109/glocom.2009.5425758","title":"Cooperative Quickest Spectrum Sensing in Cognitive Radios with Unknown Parameters","year":2009,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"CUSUM; Cognitive radio; Computer science; Constraint (computer-aided design); Channel (broadcasting); Algorithm; Mathematical optimization; Wireless; Statistics; Mathematics; 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":[0.001865326,0.001015592,0.001280782,0.0007140107,0.0004617159,0.00115532,0.0009670938,0.0009288747,0.0004735768],"category_scores_gemma":[0.009154147,0.0005832043,0.0004906368,0.0006791121,0.001536175,0.001892728,0.001008365,0.0007872259,0.0001162948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006045342,"about_ca_system_score_gemma":0.0009272113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001953449,"about_ca_topic_score_gemma":0.001334349,"domain_scores_codex":[0.9988751,0.0004775242,0.00004289017,0.0001786359,0.0002682288,0.0001575477],"domain_scores_gemma":[0.993741,0.004932904,0.0005521382,0.0003563088,0.0003320683,0.00008560513],"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":[0.0006832279,0.00009182366,0.001592783,0.0001860544,0.0001592394,0.0003732691,0.0005209873,0.8472499,0.01852819,0.03005362,0.000411584,0.1001494],"study_design_scores_gemma":[0.00003645512,0.0001180539,0.0002636256,0.00001225294,0.00002428548,0.0001381338,0.00005598633,0.981601,0.00560971,0.01180117,0.000307966,0.0000313565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.102499,0.0004764524,0.8955787,0.00009580476,0.00002265777,0.00003987758,0.00001616594,0.0002712252,0.001000263],"genre_scores_gemma":[0.9364094,0.0001588867,0.06265023,0.00006311119,0.00002604519,0.00005291968,0.00002077613,0.0000235653,0.0005950462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001953449,"threshold_uncertainty_score":0.009864926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461866771722379,"score_gpt":0.2398694540902148,"score_spread":0.225250786372991,"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."}}