{"id":"W2135054531","doi":"10.1109/jproc.2014.2303977","title":"Multiband Spectrum Access: Great Promises for Future Cognitive Radio Networks","year":2014,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cognitive radio; Computer science; Spectrum management; Throughput; Key (lock); Computer network; Handover; Radio spectrum; Cognitive network; Channel (broadcasting); Telecommunications; Wideband; Wireless; Computer security; Engineering; Electronic engineering","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":[0.0003791874,0.000231948,0.0003193984,0.0000739374,0.0002907636,0.0003467798,0.00109504,0.00009921484,0.000003349606],"category_scores_gemma":[0.0001275308,0.0001635316,0.00019779,0.0004517986,0.0001135442,0.0006472184,0.0002096946,0.0002111864,0.000001086336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003700046,"about_ca_system_score_gemma":0.00002703109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001120838,"about_ca_topic_score_gemma":0.00001300223,"domain_scores_codex":[0.9985673,0.000013227,0.0002632757,0.0004671707,0.0002445917,0.0004444767],"domain_scores_gemma":[0.9989377,0.0002336577,0.0003000479,0.0001554736,0.0002841601,0.00008890997],"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":[0.002291088,0.001160007,0.06413075,0.00183397,0.001731478,0.00001004676,0.0140429,0.005344284,0.01672629,0.1645443,0.07157274,0.6566122],"study_design_scores_gemma":[0.003045584,0.0004788153,0.01859558,0.0007872283,0.0001778581,0.00009502836,0.0001883216,0.8561258,0.09056225,0.02537089,0.003736692,0.0008359912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5211346,0.0005762111,0.462521,0.004562934,0.003042385,0.002040975,0.000009317852,0.0002919362,0.005820652],"genre_scores_gemma":[0.9952642,0.0000550902,0.002173937,0.0003137996,0.001922705,0.00002743304,6.814867e-7,0.00002423698,0.00021789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8507815,"threshold_uncertainty_score":0.6668625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347601146183469,"score_gpt":0.2411806078206853,"score_spread":0.2277045963588506,"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."}}