{"id":"W2489229813","doi":"10.1007/978-3-319-29691-3","title":"Market-Driven Spectrum Sharing in Cognitive Radio","year":2016,"lang":"en","type":"book","venue":"Springer briefs in electrical and computer engineering","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cognitive radio; Spectrum (functional analysis); Mechanism (biology); Computer science; Radio spectrum; Telecommunications; Computer network; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003342541,0.0006348392,0.000850904,0.0009460506,0.00006025642,0.0002828128,0.0007174345,0.0003517561,0.00001808489],"category_scores_gemma":[0.00003142861,0.0006292203,0.0001551084,0.0005932392,0.00004996423,0.0003260474,0.0007638388,0.001237984,0.00001088167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005865166,"about_ca_system_score_gemma":0.0001352341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002102386,"about_ca_topic_score_gemma":0.00003421067,"domain_scores_codex":[0.9965229,0.00004238086,0.000623845,0.001366438,0.000352599,0.001091812],"domain_scores_gemma":[0.998679,0.0005376306,0.0001255937,0.0004025809,0.00003856231,0.0002166408],"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":[0.0001410122,0.0002734411,0.00663159,0.0003881947,0.000465133,0.005701057,0.0009603715,0.004668165,0.00009645327,0.1581647,0.003134853,0.8193751],"study_design_scores_gemma":[0.001216344,0.0001442034,0.01476528,0.002368584,0.00001765144,0.00020433,3.771968e-7,0.9668683,0.00004229851,0.007274291,0.005956026,0.001142328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003343425,0.003880745,0.9572246,0.0003696778,0.0009836089,0.0006955799,0.000005173336,0.0004585942,0.03303859],"genre_scores_gemma":[0.8555474,0.00582811,0.03875187,0.001326524,0.009958155,0.0001494065,0.00003247861,0.0006793449,0.08772673],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9622001,"threshold_uncertainty_score":0.9996159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007307995895852552,"score_gpt":0.1976175663970144,"score_spread":0.1903095705011619,"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."}}