{"id":"W2071707134","doi":"10.1109/jsac.2004.839380","title":"Cognitive radio: brain-empowered wireless communications","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":11988,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cognitive radio; Computer science; Radio resource management; Wireless; Software-defined radio; Interference (communication); Transmitter power output; Radio spectrum; Transmitter; Channel (broadcasting); Spectrum management; Telecommunications; Wireless network; Cognitive network; Metric (unit); Electromagnetic interference; Control channel; Computer network; Transmission (telecommunications); 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":[0.0003604509,0.0005932101,0.0004286134,0.0004654799,0.0004044921,0.002108626,0.00110151,0.001447741,0.003521054],"category_scores_gemma":[0.001065783,0.0001646363,0.0002332355,0.0006671947,0.001316952,0.001991829,0.0009375835,0.0009369235,0.001352227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175227,"about_ca_system_score_gemma":0.0004845797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007880526,"about_ca_topic_score_gemma":0.0007574531,"domain_scores_codex":[0.9997812,0.00005408681,0.000006877015,0.0000412059,0.00008297199,0.00003368096],"domain_scores_gemma":[0.9997322,0.0001299078,0.00002480228,0.00002971531,0.00004617116,0.0000372818],"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":[0.0001712255,0.0000954984,0.0007487443,0.0008959335,0.00009936856,0.0007027861,0.0004913753,0.01897903,0.02406976,0.4070758,0.03375525,0.5129154],"study_design_scores_gemma":[0.00007031848,0.0002846473,0.001588906,0.0002814303,0.00008006518,0.001572682,0.0003478337,0.1061124,0.01068667,0.5043296,0.3745593,0.00008616479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01950344,0.06596558,0.7746319,0.009003788,0.002300619,0.0001080063,0.0002038475,0.003166236,0.1251166],"genre_scores_gemma":[0.6797993,0.06688771,0.181409,0.003575926,0.003918421,0.0003161681,0.0003164353,0.0002485805,0.06352851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003521054,"threshold_uncertainty_score":0.01177913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03392261928679244,"score_gpt":0.3095050540082727,"score_spread":0.2755824347214803,"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."}}