{"id":"W2104727594","doi":"10.1109/iccw.2010.5503967","title":"An Efficient Multiple Relay Selection Scheme for Cognitive Radio Systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Relay; Cognitive radio; Computer science; Computational complexity theory; Interference (communication); Greedy algorithm; Selection (genetic algorithm); Scheme (mathematics); Constraint (computer-aided design); Selection algorithm; Mathematical optimization; Algorithm; Computer network; Telecommunications; Wireless; Mathematics; Artificial intelligence; Channel (broadcasting); Power (physics)","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":[0.0004520551,0.000660687,0.000521384,0.0003512671,0.0003789264,0.0004474129,0.000845593,0.0004924195,0.0006820341],"category_scores_gemma":[0.001017282,0.0001552263,0.0003492649,0.0004763204,0.0003242936,0.0005236908,0.0005008915,0.0004073674,0.0002802866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002733495,"about_ca_system_score_gemma":0.0004257393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004909781,"about_ca_topic_score_gemma":0.0007735777,"domain_scores_codex":[0.9994152,0.0002110301,0.00002297872,0.00009746895,0.0001968482,0.00005650999],"domain_scores_gemma":[0.999751,0.0001072953,0.00003774494,0.00005040466,0.00004201598,0.00001147506],"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":[0.0003154374,0.0001413197,0.0005564903,0.0003309184,0.0001615871,0.0004120028,0.0001751241,0.2898761,0.08700972,0.07658701,0.003452919,0.5409814],"study_design_scores_gemma":[0.0000854247,0.0003081765,0.0003617532,0.00001756502,0.0000689962,0.0005200714,0.00002559793,0.9576116,0.01318571,0.02065027,0.007126174,0.00003869011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01019697,0.0005143979,0.9871609,0.0000927564,0.00004395422,0.00004150737,0.00001891977,0.0001642389,0.001766315],"genre_scores_gemma":[0.6808841,0.000724253,0.3160024,0.0001478939,0.00009595183,0.0001443803,0.00006427952,0.00001631393,0.001920446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000845593,"threshold_uncertainty_score":0.002390742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031068504593815,"score_gpt":0.294738244015779,"score_spread":0.263669739421964,"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."}}