{"id":"W2472569632","doi":"10.1007/978-3-319-27568-0_11","title":"Energy-Aware Cognitive Radio Systems","year":2016,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Cognitive radio; Computer science; Efficient energy use; Energy consumption; Quality of service; Overhead (engineering); Throughput; Computer network; Wireless; Channel (broadcasting); Energy (signal processing); Radio resource management; Telecommunications; Wireless network; Engineering; Electrical engineering","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":[0.0002746494,0.0007471912,0.0004861314,0.0002613201,0.0002215784,0.001610883,0.001080146,0.0006856109,0.003018267],"category_scores_gemma":[0.0007364528,0.000216201,0.0002230456,0.0005585704,0.0006982946,0.001170854,0.0008999942,0.001126086,0.0006789921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004046477,"about_ca_system_score_gemma":0.0003105927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003315987,"about_ca_topic_score_gemma":0.0004063937,"domain_scores_codex":[0.9997607,0.00003645632,0.00000833805,0.00004644505,0.0001142653,0.00003373724],"domain_scores_gemma":[0.9997868,0.0001231578,0.00001237799,0.00002884184,0.00003720371,0.00001159375],"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":[0.00007387499,0.00009488181,0.0001886676,0.0004672431,0.00007987525,0.0002186479,0.0001598617,0.09611954,0.009739052,0.5579698,0.01526816,0.3196204],"study_design_scores_gemma":[0.00002685593,0.0001079652,0.0006048488,0.0002379475,0.00005806964,0.0006385933,0.0001286471,0.2775931,0.005658058,0.5835133,0.1313736,0.00005898242],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02246481,0.09371054,0.6070374,0.003328166,0.002813482,0.00005229013,0.0001019244,0.0003501908,0.2701412],"genre_scores_gemma":[0.8061042,0.06699257,0.04689094,0.001139906,0.002212389,0.00007007756,0.0001145236,0.0001016184,0.07637364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003018267,"threshold_uncertainty_score":0.01009709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02994209129109401,"score_gpt":0.275033458859723,"score_spread":0.245091367568629,"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."}}