{"id":"W18995374","doi":"10.1007/1-4020-4437-2_30","title":"Multicarrier SDMA System with Reduced Intra-user Cross-correlations","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science","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":[0.0002626725,0.0006879367,0.0004412523,0.0002764888,0.0002472694,0.0005889253,0.0005477249,0.0004641611,0.003611607],"category_scores_gemma":[0.0004680873,0.0002484292,0.0002471652,0.000569117,0.0002378574,0.000493765,0.0004897651,0.0007206663,0.001524453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003087125,"about_ca_system_score_gemma":0.0004606483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005719842,"about_ca_topic_score_gemma":0.001269822,"domain_scores_codex":[0.9997709,0.00004527971,0.000008600921,0.00003608409,0.0001166288,0.0000224573],"domain_scores_gemma":[0.9997768,0.00008598073,0.00001443793,0.00004188847,0.00007143241,0.000009551819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001703182,0.0001226617,0.0005141234,0.0002783559,0.000120476,0.0002406251,0.0001124345,0.2550466,0.1204511,0.08131668,0.01102197,0.5306046],"study_design_scores_gemma":[0.00003792417,0.0001985041,0.0006913837,0.00005200063,0.0000599946,0.0005504104,0.00002457575,0.9065821,0.0312246,0.02707507,0.03346089,0.00004258127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01520491,0.001705288,0.9542025,0.0001774084,0.0002378005,0.00004059593,0.00009322867,0.0005518235,0.02778639],"genre_scores_gemma":[0.4664136,0.002948714,0.4574987,0.0004024432,0.0004900819,0.0001634439,0.0003931795,0.0002217785,0.07146813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003611607,"threshold_uncertainty_score":0.01208198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006734142830796785,"score_gpt":0.2069339342394463,"score_spread":0.2001997914086495,"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."}}