{"id":"W2052291015","doi":"10.1109/icc.2010.5501801","title":"Dynamic Coalition Formation for Resource Allocation in Cognitive Radio Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cognitive radio; Computer science; Stochastic game; Superadditivity; Exploit; Resource allocation; Scheduling (production processes); Base station; Resource management (computing); Cognitive network; Mathematical optimization; Game theory; Distributed computing; Core (optical fiber); Computer network; Mathematical economics; Telecommunications; Mathematics; Computer security; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002364527,0.0006712218,0.0007544168,0.0004484973,0.0007795974,0.00115467,0.001216433,0.0008868898,0.001142933],"category_scores_gemma":[0.006241064,0.0003778434,0.0005418202,0.0006957909,0.001613664,0.001533492,0.001963888,0.001177734,0.0001791767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400382,"about_ca_system_score_gemma":0.001473326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288876,"about_ca_topic_score_gemma":0.002760007,"domain_scores_codex":[0.998871,0.0005971864,0.00004095896,0.0001389221,0.0002560423,0.00009581481],"domain_scores_gemma":[0.9984894,0.001034673,0.0001530796,0.0001101804,0.0001232977,0.00008938355],"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":[0.000053141,0.00003033285,0.000258419,0.00005895184,0.00003334933,0.00008925971,0.0001277421,0.7723224,0.001346123,0.2047541,0.0007015438,0.02022457],"study_design_scores_gemma":[0.00001296782,0.00002262327,0.00004172619,0.000007410223,0.000005082224,0.00001780463,0.00001882651,0.9396019,0.0002452792,0.05906186,0.0009588234,0.00000568323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01424691,0.0005633045,0.9808015,0.0002464916,0.00005271404,0.0000441433,0.00001577696,0.00003941741,0.003989689],"genre_scores_gemma":[0.8486884,0.0009104614,0.1468852,0.000106445,0.00008175606,0.0002521662,0.00005059124,0.00003615883,0.00298896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00288876,"threshold_uncertainty_score":0.01250499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148270460263747,"score_gpt":0.2506056406711485,"score_spread":0.239122936068511,"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."}}