{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000738917,0.0004065512,0.0005586934,0.0002779462,0.0003874732,0.001973201,0.001030573,0.001217431,0.006928322],"category_scores_gemma":[0.001581784,0.0003117393,0.0005041355,0.0005159309,0.001555179,0.001904165,0.0008333435,0.0012309,0.0006869056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181177,"about_ca_system_score_gemma":0.0007607869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006794222,"about_ca_topic_score_gemma":0.0006830306,"domain_scores_codex":[0.9996295,0.0001120233,0.00001040854,0.0000473268,0.0001451416,0.00005567575],"domain_scores_gemma":[0.999558,0.0002863018,0.0000339503,0.0000341034,0.00005355311,0.00003412211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005748284,0.00005430881,0.00008427572,0.0001472644,0.00003362801,0.0001347327,0.00008673393,0.05567062,0.002493445,0.8937682,0.007318696,0.04015047],"study_design_scores_gemma":[0.00001729773,0.00003411445,0.0001542668,0.00002735607,0.000007229826,0.00009719758,0.00003885432,0.1066124,0.0003550342,0.8783005,0.01433623,0.00001949911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05522452,0.03346663,0.4795789,0.008711244,0.002816294,0.0001191309,0.0001654781,0.0003218639,0.419596],"genre_scores_gemma":[0.9017412,0.009870804,0.01712931,0.0006580583,0.001393091,0.00009375255,0.00003950076,0.00008957029,0.06898473],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006928322,"threshold_uncertainty_score":0.02317756,"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."}}