{"id":"W2110748574","doi":"10.1109/twc.2010.062910.100594","title":"Closed-Loop Transmit Diversity with Imperfect Feedback","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Transmit diversity; Beamforming; Benchmark (surveying); Antenna diversity; Feedback loop; Residual; Diversity scheme; Channel (broadcasting); Control theory (sociology); Algorithm; Fading; Antenna (radio); Telecommunications; Artificial intelligence; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001577396,0.0003516733,0.0003093077,0.000273694,0.001234333,0.00005764985,0.002092193,0.0002212085,0.0001375603],"category_scores_gemma":[0.00000273574,0.000360536,0.0001495243,0.0006515131,0.0004869741,0.00043101,0.00002426535,0.001749436,0.00009652708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075781,"about_ca_system_score_gemma":0.00004239089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009560382,"about_ca_topic_score_gemma":0.001565417,"domain_scores_codex":[0.9986384,0.00009643544,0.0003516513,0.0002755814,0.0002766659,0.0003612632],"domain_scores_gemma":[0.9954205,0.000358924,0.00006917858,0.00382026,0.0001537932,0.0001773072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002205248,0.002236242,0.0007577667,0.0002067441,0.000796331,0.000009104756,0.004194432,0.07125214,0.2730393,0.01065063,0.0008687877,0.6357679],"study_design_scores_gemma":[0.004173982,0.000593645,0.004128094,0.0004215986,0.0004887111,0.0001170203,0.0009011659,0.1767505,0.784953,0.001568938,0.02235972,0.003543604],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2592198,0.0001052794,0.7316011,0.0006675289,0.0002293937,0.0005857591,0.0001019545,0.002641418,0.004847826],"genre_scores_gemma":[0.973601,0.001673782,0.02399072,0.00008472357,0.00001613232,0.0002965391,0.00002189895,0.0001006017,0.0002145352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7143813,"threshold_uncertainty_score":0.9998847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571700154187942,"score_gpt":0.2418932402859666,"score_spread":0.2261762387440872,"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."}}