{"id":"W2149814880","doi":"10.1109/vetecs.2003.1207793","title":"High throughput downlink cellular packet data access with multiple antennas and multiuser diversity","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Precoding; Computer network; Telecommunications link; MIMO; Channel state information; Throughput; Base station; Network packet; Transmitter; Diversity gain; Fading; Transmit diversity; Scheduling (production processes); Channel (broadcasting); Electronic engineering; Telecommunications; Wireless; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00006647782,0.00017298,0.0001599966,0.00003766025,0.0001479617,0.00005472436,0.0003646022,0.00006916991,0.0000270747],"category_scores_gemma":[0.00001259056,0.0001459814,0.00001016377,0.0001811704,0.00005660469,0.001137724,0.0006845326,0.0001221886,0.000009240106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000526346,"about_ca_system_score_gemma":0.000008706168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002888823,"about_ca_topic_score_gemma":0.0006707185,"domain_scores_codex":[0.9991605,0.00000992663,0.0001165662,0.0003119238,0.0001712252,0.0002298995],"domain_scores_gemma":[0.9992768,0.00003191728,0.0000268203,0.0005384758,0.0000504692,0.00007548308],"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":[0.00001620654,0.00002188925,0.01201436,0.00002306672,0.0000392482,0.00001486229,0.0001165631,0.9862228,0.000228128,0.0001115386,0.0001628505,0.001028479],"study_design_scores_gemma":[0.003930565,0.00003538532,0.0110573,0.00007165327,0.00007601663,0.000008079327,0.0001197005,0.9768548,0.006406568,0.0003825128,0.0004680365,0.0005893666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3560384,0.0001362157,0.6429388,0.00005233998,0.00009704536,0.0001735551,0.00004185072,0.0003727168,0.0001491517],"genre_scores_gemma":[0.9313028,0.0002905836,0.06802959,0.00004576252,0.00006622387,0.000002828555,0.0002034893,0.00003267157,0.0000260586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5752645,"threshold_uncertainty_score":0.5952949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419374668681163,"score_gpt":0.2224283790424775,"score_spread":0.1982346323556659,"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."}}