{"id":"W2160687816","doi":"10.1109/icc.2014.6883545","title":"Impact of transmit power control on aggregate interference in underlay cognitive radio networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transmitter; Rayleigh fading; Interference (communication); Power control; Transmitter power output; Path loss; Underlay; Cognitive radio; Topology (electrical circuits); Computer science; Fading; Power (physics); Mathematics; Telecommunications; Physics; Wireless; Signal-to-noise ratio (imaging); Combinatorics; Quantum mechanics","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":[0.0003861993,0.0002259586,0.000402666,0.0001828792,0.00004291646,0.00008025105,0.0003423296,0.00008563748,0.00006266073],"category_scores_gemma":[0.00005959181,0.0001755923,0.0001913984,0.0004442419,0.00008738973,0.0002174143,0.00003450235,0.0002860893,0.00001032353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007418402,"about_ca_system_score_gemma":0.00004660782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001223377,"about_ca_topic_score_gemma":0.0001449682,"domain_scores_codex":[0.9984046,0.0002314915,0.0003309189,0.0004266387,0.0001655614,0.0004408122],"domain_scores_gemma":[0.998525,0.0008670485,0.0001185939,0.0002756345,0.000100339,0.0001133322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001311348,0.0009880912,0.03441998,0.00002101343,0.0005563555,0.0001487629,0.00422752,0.05806994,0.000701598,0.09064404,0.0004984545,0.8084129],"study_design_scores_gemma":[0.002526713,0.001435783,0.1165689,0.0003400168,0.00001231061,0.00002102713,0.00003743189,0.8768951,0.0001953055,0.001655254,0.000006592914,0.0003055318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2175329,0.00007652426,0.7709255,0.0001397598,0.0001223683,0.0001686406,0.000001561513,0.00005198663,0.01098078],"genre_scores_gemma":[0.9991375,0.00002532712,0.0003855585,0.0003380061,0.00005397251,0.000001569695,0.000001109491,0.00001233974,0.00004464665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8188252,"threshold_uncertainty_score":0.7160446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100584777757574,"score_gpt":0.2463530023782678,"score_spread":0.2362945246025104,"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."}}