{"id":"W2950010304","doi":"10.48550/arxiv.0811.1500","title":"Linear Processing and Sum Throughput in the Multiuser MIMO Downlink","year":2008,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Throughput; MIMO; Computer science; Computer network; Telecommunications; Wireless","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":[0.001705698,0.0007503186,0.0007126827,0.0005118847,0.0003927579,0.001522595,0.0004562496,0.0008100357,0.001084115],"category_scores_gemma":[0.006918388,0.0003537612,0.0002454996,0.0009449242,0.001355388,0.001487602,0.0008501326,0.0005777673,0.0002736536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285446,"about_ca_system_score_gemma":0.0007102973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001449207,"about_ca_topic_score_gemma":0.001201025,"domain_scores_codex":[0.9988569,0.0004916859,0.00002849485,0.0001126746,0.0003181431,0.0001921542],"domain_scores_gemma":[0.9962876,0.002804079,0.0003335212,0.0001565902,0.0003524628,0.00006576635],"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":[0.0001182476,0.00002794338,0.0007559583,0.00005059492,0.00002029304,0.0001153877,0.00004941931,0.9714787,0.003265422,0.01757049,0.0002916425,0.00625595],"study_design_scores_gemma":[0.000006652725,0.00003809946,0.0003007485,0.000007361726,0.00000872371,0.00003130607,0.00002719814,0.9864247,0.002831706,0.01019817,0.0001186605,0.000006641398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3984336,0.001952773,0.5766929,0.000992864,0.00006281213,0.00004364262,0.0002091267,0.0003482758,0.02126404],"genre_scores_gemma":[0.9840288,0.0004508761,0.01398853,0.00006753409,0.00003062926,0.00002763684,0.00004045387,0.00003031922,0.001335229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001705698,"threshold_uncertainty_score":0.009326637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03534560547907034,"score_gpt":0.2658773785085463,"score_spread":0.230531773029476,"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."}}