{"id":"W2741100557","doi":"10.1007/978-3-319-60318-6","title":"Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks","year":2017,"lang":"en","type":"book","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cognitive radio; Spectrum management; Spectrum (functional analysis); Computer science; Scarcity; Wireless sensor network; Energy (signal processing); Computer network; Telecommunications; Wireless; Physics","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":[0.0001454517,0.0008597485,0.0005654667,0.0005008861,0.0002378295,0.001122955,0.00107641,0.0005424217,0.01046871],"category_scores_gemma":[0.0002986957,0.0002517627,0.0002470213,0.0009782233,0.0003489635,0.001384859,0.0006782991,0.001124487,0.004771274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004688759,"about_ca_system_score_gemma":0.0003006553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004433589,"about_ca_topic_score_gemma":0.000752924,"domain_scores_codex":[0.9998193,0.00001191676,0.000004735491,0.00002654821,0.0001246676,0.00001283954],"domain_scores_gemma":[0.9999119,0.00003318362,0.000007005955,0.00001246564,0.00002768083,0.000007738573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006491405,0.00009096372,0.00005868366,0.0005856355,0.00004603341,0.00008517253,0.00004837464,0.02793683,0.01464321,0.07158749,0.1068654,0.7779872],"study_design_scores_gemma":[0.00002576586,0.0001179375,0.0005053683,0.0003468288,0.0000422659,0.0005483614,0.0000713183,0.1461219,0.009246184,0.2090253,0.6338997,0.00004894143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005381994,0.1434042,0.5389308,0.002578593,0.005747424,0.0000893504,0.0003015817,0.001430879,0.3021352],"genre_scores_gemma":[0.1460087,0.1198481,0.1292298,0.001770902,0.005110417,0.0001739373,0.0007080442,0.0006138122,0.5965363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01046871,"threshold_uncertainty_score":0.03502136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448219857612135,"score_gpt":0.2330391837860015,"score_spread":0.2185569852098802,"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."}}