{"id":"W2003322484","doi":"10.1109/icc.2010.5502457","title":"A Practical Algorithm for Realizing GDFE Precoder for Multiuser MIMO Systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Precoding; MIMO; Computational complexity theory; Computer science; Algorithm; Covariance matrix; Control theory (sociology); Channel (broadcasting); Telecommunications; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002221707,0.0001558359,0.0001993487,0.0000595224,0.00006676339,0.00006092755,0.00007287308,0.000171336,0.00001331715],"category_scores_gemma":[0.0001986259,0.0001470111,0.00006266793,0.00006682476,0.00001189893,0.0003399509,0.00001147435,0.0001249622,0.00001257181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004123903,"about_ca_system_score_gemma":0.00001706972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002235783,"about_ca_topic_score_gemma":0.00006254246,"domain_scores_codex":[0.9991006,0.000009206,0.0003085205,0.0002107234,0.00007379861,0.000297178],"domain_scores_gemma":[0.9991427,0.0003214024,0.00004961514,0.0002403718,0.0001600209,0.00008586366],"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":[0.00007412188,0.0002127295,0.00006766208,0.002274796,0.0004387377,0.000005190928,0.0007359849,0.6864002,0.07293733,0.06061039,0.09302095,0.08322188],"study_design_scores_gemma":[0.0004896001,0.00002472149,0.000001805847,0.00002145485,0.00001981945,0.00001841262,0.0001518921,0.9573171,0.003219312,0.00009156914,0.03844888,0.0001953909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008211784,0.00003651759,0.9940473,0.00005626431,0.001485695,0.001728891,0.00005070071,0.0005703041,0.001942201],"genre_scores_gemma":[0.02575078,0.000006121015,0.9708194,0.00001716715,0.0005196703,0.001126301,0.00005058232,0.0001044863,0.001605482],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2709169,"threshold_uncertainty_score":0.599494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457881909903687,"score_gpt":0.3006305984006299,"score_spread":0.276051779301593,"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."}}