{"id":"W2064770655","doi":"10.1109/chinacom.2011.6158235","title":"Traditional distributed power control algorithms for Cognitive Radio Network","year":2011,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; Power control; Quality of service; Computer science; Interference (communication); Computer network; Transmission (telecommunications); Power (physics); Radio resource management; Scheme (mathematics); Distributed power; Distributed computing; Electronic engineering; Wireless; Telecommunications; Wireless network; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002645788,0.000192737,0.0002484948,0.00004527953,0.0002489152,0.0001014564,0.0002859745,0.0000748918,0.0001551257],"category_scores_gemma":[0.00004484669,0.000172537,0.0001720115,0.0002866067,0.00008116185,0.0003336666,0.00003649314,0.000125515,0.00002151869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003986471,"about_ca_system_score_gemma":0.00006000616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001059477,"about_ca_topic_score_gemma":0.000007225773,"domain_scores_codex":[0.9985554,0.00005966052,0.0002150682,0.0004443931,0.00018893,0.0005366057],"domain_scores_gemma":[0.9988095,0.0005499694,0.00008337519,0.0001827673,0.0002133316,0.0001610398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003170214,0.0006025577,0.0008757017,0.000008612018,0.0005215149,0.000137778,0.0009974795,0.0001990782,0.00002469911,0.8606212,0.02930159,0.1063928],"study_design_scores_gemma":[0.006423966,0.0009745802,0.05793998,0.00009952227,0.0001067577,0.0002330533,0.0001505875,0.8340802,0.0004374266,0.09503628,0.00347377,0.001043861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001166054,0.0001174211,0.9875205,0.0003233156,0.0006283303,0.0004684456,0.0001114011,0.0002122443,0.009452359],"genre_scores_gemma":[0.947574,0.000005732473,0.05095996,0.0008154085,0.0004583781,0.00002277187,0.00005394689,0.0000143053,0.00009553735],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9464079,"threshold_uncertainty_score":0.7035854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03972714073885245,"score_gpt":0.2349843861673124,"score_spread":0.19525724542846,"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."}}