{"id":"W2030002152","doi":"10.1109/glocom.2011.6134135","title":"A Coalition Formation Game for Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks with Multiple Channels","year":2011,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cognitive radio; Computer science; Channel (broadcasting); Key (lock); Computer network; Game theory; Network packet; Transmission (telecommunications); Wireless; Efficient energy use; Mathematical optimization; Telecommunications; Engineering; Mathematics; Computer security","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":[0.000322792,0.0002531656,0.0002904783,0.0002161352,0.0001820522,0.0001651814,0.0001451285,0.00008427839,0.00001083475],"category_scores_gemma":[0.00003595225,0.0002130323,0.00006859306,0.0006210456,0.00007293413,0.0005420392,0.00006320082,0.0001472194,0.000002241886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354145,"about_ca_system_score_gemma":0.0000529457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002562849,"about_ca_topic_score_gemma":0.001472573,"domain_scores_codex":[0.9982786,0.000122902,0.0003287095,0.0005054897,0.0001873994,0.0005769164],"domain_scores_gemma":[0.9990068,0.0003373644,0.0001412178,0.0001876179,0.0002202594,0.0001067606],"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":[0.003333858,0.001569532,0.001233566,0.00008346712,0.0003964463,0.0005863628,0.05090277,0.4627355,0.0006726696,0.267658,0.0008384153,0.2099894],"study_design_scores_gemma":[0.001861847,0.0004008034,0.0007073111,0.0001974701,0.00001376513,0.0001069753,0.0005084576,0.9882969,0.006818382,0.0006975738,0.00004637574,0.000344145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03947349,0.00006599139,0.9571292,0.0001421742,0.0002262663,0.0006297682,0.000003814617,0.000143387,0.002185898],"genre_scores_gemma":[0.9832053,0.00001754582,0.01613086,0.000346283,0.000160186,0.00002489588,0.00002773216,0.00002016192,0.00006709618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9437317,"threshold_uncertainty_score":0.8687205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631433338629974,"score_gpt":0.225190252603703,"score_spread":0.1988759192174032,"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."}}