{"id":"W2106564398","doi":"10.1109/twc.2004.837630","title":"A Low-Complexity Enhancement to Suboptimal CDMA Receivers","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Code division multiple access; Detector; Computer science; Multiuser detection; Matched filter; Spread spectrum; Interference (communication); Performance improvement; Single antenna interference cancellation; Code (set theory); Algorithm; Electronic engineering; Real-time computing; Telecommunications; Channel (broadcasting); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006010944,0.0006717559,0.0007921012,0.0003083322,0.000416053,0.000968469,0.0008717024,0.001336792,0.004067334],"category_scores_gemma":[0.002800791,0.0003622007,0.0004266965,0.0003836305,0.0004205636,0.0009772773,0.0009536394,0.001039106,0.002967123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003670352,"about_ca_system_score_gemma":0.0009773965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006414772,"about_ca_topic_score_gemma":0.001311945,"domain_scores_codex":[0.9991241,0.0001886704,0.00003304982,0.0001487532,0.0004505649,0.00005491323],"domain_scores_gemma":[0.9989576,0.0003478839,0.0000802244,0.0002621149,0.0003169924,0.0000350837],"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":[0.0007242869,0.0002347557,0.001953668,0.0005231752,0.0001105766,0.0004377141,0.0002495399,0.0498904,0.2980665,0.07350139,0.008453334,0.5658547],"study_design_scores_gemma":[0.0001107558,0.000719875,0.001576573,0.00008224465,0.0001161601,0.002272575,0.00004184951,0.8057742,0.1121898,0.01613496,0.06089626,0.00008477958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01009369,0.0009185558,0.9812676,0.0003737727,0.0001840638,0.00006604122,0.00005559282,0.0006814129,0.006359301],"genre_scores_gemma":[0.1909541,0.001012125,0.7882735,0.0005786838,0.0003767025,0.00009474329,0.0001903679,0.00009055931,0.0184292],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004067334,"threshold_uncertainty_score":0.01360661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06090842950900147,"score_gpt":0.3176210438328896,"score_spread":0.2567126143238881,"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."}}