{"id":"W2112090704","doi":"10.1109/tit.2009.2027529","title":"Rate of Channel Hardening of Antenna Selection Diversity Schemes and Its Implication on Scheduling","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transmitter; Scheduling (production processes); Channel (broadcasting); Ergodic theory; Diversity gain; Channel capacity; Fading; Selection (genetic algorithm)","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":[0.003792933,0.0007577113,0.0009366053,0.0009132292,0.0006404457,0.001411551,0.001008774,0.0006988439,0.004697072],"category_scores_gemma":[0.04172522,0.0004499755,0.000383302,0.001004596,0.002057317,0.002299879,0.001859216,0.002065166,0.0005566539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406927,"about_ca_system_score_gemma":0.001163025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220217,"about_ca_topic_score_gemma":0.0006733384,"domain_scores_codex":[0.9985328,0.0004920765,0.00004708141,0.0001669394,0.0003906401,0.0003703473],"domain_scores_gemma":[0.958919,0.03018367,0.004022105,0.00431701,0.001859305,0.0006989705],"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":[0.0005920121,0.000105156,0.004404941,0.0001798669,0.00005155824,0.0003949187,0.0004161149,0.8092901,0.02734733,0.1044084,0.001839837,0.05096976],"study_design_scores_gemma":[0.00004362808,0.0001909063,0.003665226,0.00006231206,0.00002881251,0.000559719,0.0001852141,0.9243671,0.02147743,0.04808487,0.001264029,0.00007080165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5300741,0.001734313,0.4351495,0.002105756,0.0002145339,0.0001513283,0.0006149957,0.0008307635,0.02912471],"genre_scores_gemma":[0.9831885,0.0004822369,0.01313919,0.000140158,0.0000750199,0.00007973514,0.0001288058,0.0001101981,0.002656261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004697072,"threshold_uncertainty_score":0.02005917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00838262974683803,"score_gpt":0.2091125071665201,"score_spread":0.200729877419682,"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."}}