{"id":"W2131147870","doi":"10.1109/glocom.2008.ecp.845","title":"Interference Reduction by Beamforming in Cognitive Networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Army Research Office; Multidisciplinary University Research Initiative","keywords":"Beamforming; Cognitive radio; Interference (communication); Transmitter; Computer science; Topology (electrical circuits); Algorithm; Mathematics; Telecommunications; Combinatorics; Wireless; Channel (broadcasting)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002832288,0.00006739625,0.00007388843,0.00004765876,0.00002206572,0.000003986023,0.00003000985,0.00004464595,0.00002647404],"category_scores_gemma":[0.00001029791,0.00007184342,0.000009407433,0.0001473896,0.000014542,0.0002376379,0.000007403765,0.00008909251,0.00000840208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005961374,"about_ca_system_score_gemma":0.000002885213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001794256,"about_ca_topic_score_gemma":0.00001050136,"domain_scores_codex":[0.9996258,0.000005872778,0.0001351885,0.00008532934,0.00002879702,0.0001190097],"domain_scores_gemma":[0.9998853,0.00001426514,0.00001339629,0.00004648002,0.00001937466,0.00002120565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005157564,0.000007559931,0.000347513,0.000006495445,0.000004921219,0.000002004,0.0004079855,0.9926378,0.001544887,0.00002333354,0.0008990169,0.004113379],"study_design_scores_gemma":[0.0003474858,0.00002119571,0.00009799063,0.0001086663,0.000002465771,0.00006382171,0.0005429367,0.9900106,0.008476274,0.00002399072,0.0001071289,0.0001974915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04441507,0.0001878782,0.9472868,0.000003058355,0.0001928178,0.0001089474,8.745479e-7,0.0001861497,0.007618384],"genre_scores_gemma":[0.9967453,0.0001513094,0.002561304,0.000005333507,0.00003765123,0.00001854186,0.00001705656,0.0000140203,0.0004495171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9523302,"threshold_uncertainty_score":0.292969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286084793849485,"score_gpt":0.2206359198140803,"score_spread":0.2077750718755854,"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."}}