{"id":"W2490856405","doi":"10.4018/978-1-4666-2812-0.ch002","title":"Large Scale Cognitive Wireless Networks","year":2013,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer network; Cognitive radio; Wireless network; Wireless WAN; Computer science; Wi-Fi array; Municipal wireless network; Fixed wireless; Cognitive network; Wireless; Key distribution in wireless sensor networks; Radio resource management; Wireless broadband; Distributed computing; Telecommunications","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":[0.0003664513,0.0005550734,0.0003561574,0.0003162098,0.0003953034,0.001453771,0.0009431065,0.0007915681,0.00206676],"category_scores_gemma":[0.001016588,0.0001466867,0.0002600062,0.0004767076,0.0007847018,0.001252914,0.001280205,0.0008659859,0.0005637699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006488464,"about_ca_system_score_gemma":0.0005548235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275762,"about_ca_topic_score_gemma":0.001180383,"domain_scores_codex":[0.9996439,0.00006901387,0.000009364405,0.00008268344,0.0001364085,0.00005856204],"domain_scores_gemma":[0.9996371,0.0001746232,0.00003308881,0.00006419954,0.0000596238,0.00003127449],"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":[0.00008120031,0.00008391701,0.0007607435,0.000505001,0.0001300863,0.0006072549,0.000213086,0.08775001,0.01095491,0.5588587,0.01998543,0.3200697],"study_design_scores_gemma":[0.0000468392,0.0001359459,0.001014064,0.0001101047,0.00006793869,0.000748484,0.0001314652,0.4587648,0.004864509,0.3695935,0.1644622,0.00006022302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01998259,0.02247236,0.8755696,0.001769373,0.001375194,0.0001225366,0.0001706417,0.001163163,0.07737439],"genre_scores_gemma":[0.8332905,0.01825971,0.1181091,0.001411707,0.00127751,0.0002420391,0.000243859,0.00007892271,0.02708673],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00206676,"threshold_uncertainty_score":0.00691402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110755845789283,"score_gpt":0.2242006568432865,"score_spread":0.2130930983853936,"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."}}