{"id":"W2018627203","doi":"10.1186/1687-1499-2014-101","title":"Joint cooperative spectrum sensing and MAC protocol design for multi-channel cognitive radio networks","year":2014,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Cognitive radio; Throughput; Channel (broadcasting); Computer network; Greedy algorithm; Protocol (science); Optimization problem; Distributed computing; Algorithm; Wireless; 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":[0.003180713,0.0009125733,0.0005846607,0.0005952507,0.0005207031,0.001352014,0.001656308,0.0008597575,0.0009339222],"category_scores_gemma":[0.00418555,0.0005251477,0.0006183025,0.000495335,0.0008869704,0.00120492,0.001112722,0.0009357745,0.0002775352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000948897,"about_ca_system_score_gemma":0.002372123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115768,"about_ca_topic_score_gemma":0.001644731,"domain_scores_codex":[0.997125,0.001156211,0.0001488858,0.0003221203,0.00104244,0.0002053203],"domain_scores_gemma":[0.9980897,0.0008303203,0.0002489618,0.0002530706,0.0005187899,0.00005919578],"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":[0.0001586179,0.0001479946,0.0006072487,0.0002574687,0.0001428074,0.0002079735,0.0002416244,0.7852069,0.01795962,0.06810827,0.001298725,0.1256628],"study_design_scores_gemma":[0.00002144603,0.0001230478,0.0000679465,0.00001277153,0.00002535126,0.00006076738,0.00002354465,0.9859101,0.002133558,0.01004242,0.0015665,0.0000124905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00395178,0.000268251,0.9945821,0.00006968097,0.00002643087,0.00006948719,0.000007601092,0.00007988833,0.0009448271],"genre_scores_gemma":[0.5428472,0.0006850464,0.4537811,0.0001906363,0.00007734568,0.0007542956,0.00005833794,0.00005262729,0.001553453],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003180713,"threshold_uncertainty_score":0.01682144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07894119572057555,"score_gpt":0.3064158585215195,"score_spread":0.227474662800944,"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."}}