{"id":"W2125059246","doi":"10.1109/t-wc.2008.070582","title":"On the design, selection algorithm and performance analysis of limited feedback transmit beamforming","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Beamforming; Selection (genetic algorithm); Algorithm; Selection algorithm; Algorithm design; Mathematical optimization; Telecommunications; Machine learning; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001377205,0.0007059291,0.0006106569,0.0004540914,0.0002834901,0.0007189339,0.0005346852,0.0005502318,0.001145567],"category_scores_gemma":[0.006207207,0.0003674771,0.0003645086,0.0008004992,0.0008092333,0.0009552512,0.0003774932,0.0007064891,0.0005176459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008192097,"about_ca_system_score_gemma":0.0007132915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00159838,"about_ca_topic_score_gemma":0.001222318,"domain_scores_codex":[0.9990386,0.0003618436,0.00003719264,0.00009154429,0.0004255498,0.0000453356],"domain_scores_gemma":[0.9976809,0.001639175,0.0001818911,0.0001292156,0.0003399806,0.00002882556],"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":[0.00008416548,0.00003403922,0.0004012874,0.00008649254,0.00002418337,0.00006410341,0.00008232878,0.8600217,0.007802814,0.04613661,0.001018286,0.08424393],"study_design_scores_gemma":[0.000005418523,0.00003996453,0.0001181768,0.000008932032,0.000004812243,0.00004366299,0.000003991031,0.9914001,0.001578586,0.006308341,0.0004815344,0.000006407228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00483615,0.0004076179,0.9929106,0.00007149279,0.00001482253,0.00001554947,0.00001341195,0.00007897539,0.001651428],"genre_scores_gemma":[0.5239154,0.003072766,0.4681504,0.0001426256,0.0001336667,0.0002033809,0.0001745295,0.0001092503,0.004097962],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00159838,"threshold_uncertainty_score":0.007283449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692029527140212,"score_gpt":0.2288952683694273,"score_spread":0.2019749730980252,"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."}}