{"id":"W2096486704","doi":"10.1109/glocom.1999.831623","title":"Impact of imperfect power control and channel estimation on the performance of multiuser detectors","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Detector; Channel (broadcasting); Computer science; Imperfect; Interference (communication); Single antenna interference cancellation; Power control; Power (physics); Multiuser detection; Electronic engineering; Telecommunications; Physics; 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":[0.0005942609,0.00007301494,0.0001140461,0.00007291935,0.00006448254,0.00002433381,0.000471636,0.00003117795,0.000024724],"category_scores_gemma":[0.0001382016,0.0000412158,0.0000440675,0.0002622163,0.00007725965,0.0001785001,0.00006905651,0.0001074465,0.000004107757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002172051,"about_ca_system_score_gemma":0.0000447123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000033336,"about_ca_topic_score_gemma":0.000002673086,"domain_scores_codex":[0.9991955,0.0001941853,0.0001587975,0.0001095289,0.0002026905,0.0001393049],"domain_scores_gemma":[0.9985377,0.0005800054,0.00008320915,0.0006474716,0.0001145337,0.00003703496],"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":[0.0004437465,0.001266665,0.1596615,0.0001592049,0.000599376,0.000001932124,0.008958044,0.5364019,0.06738876,0.1261418,0.001540046,0.09743709],"study_design_scores_gemma":[0.0003234922,0.0003410761,0.07558493,0.00001572979,0.000001206244,0.00000173825,0.000009395546,0.9130278,0.01059593,0.0000482774,0.00000349353,0.00004693957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95746,0.00005599497,0.0414797,0.0001133913,0.00001811927,0.0002006814,6.825629e-7,0.00001632904,0.0006550275],"genre_scores_gemma":[0.9984415,0.00003449183,0.001464924,0.00002379201,0.000001822341,0.00000765579,1.560592e-7,0.000004223335,0.00002149127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.376626,"threshold_uncertainty_score":0.1680732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667274180270392,"score_gpt":0.2822948172917596,"score_spread":0.2656220754890557,"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."}}