{"id":"W4232091376","doi":"10.1002/dac.877","title":"An adaptive multiuser detector for DS‐CDMA systems in multipath fading channels","year":2007,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Fading; Computer science; Code division multiple access; Multiuser detection; Multipath propagation; Detector; Single antenna interference cancellation; Upper and lower bounds; Algorithm; Channel (broadcasting); Interference (communication); Electronic engineering; Telecommunications; Mathematics","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":[0.0007774949,0.0003203572,0.0003543573,0.000243997,0.0002154755,0.0004774923,0.0003606485,0.0005050292,0.0005305083],"category_scores_gemma":[0.002441737,0.0001997017,0.0001886853,0.0002316361,0.000350531,0.0004186705,0.0003592719,0.0004211447,0.0001382754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004019672,"about_ca_system_score_gemma":0.0006024546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110762,"about_ca_topic_score_gemma":0.001139693,"domain_scores_codex":[0.9995731,0.0001352582,0.000009629382,0.00005301254,0.0001787446,0.0000503296],"domain_scores_gemma":[0.9987979,0.0008055397,0.00009337097,0.00005620236,0.0002152013,0.000031866],"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":[0.0007765245,0.0001452042,0.007893139,0.0001348695,0.000167778,0.000234076,0.0001825686,0.7258919,0.1324107,0.01605305,0.000541686,0.1155684],"study_design_scores_gemma":[0.00001304582,0.0001189021,0.0005041665,0.000003317516,0.00001099198,0.00005863806,0.000007516071,0.9858671,0.01234377,0.0008254125,0.0002380454,0.000009098837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3448473,0.000595796,0.6519102,0.0001289747,0.00003598768,0.00004217518,0.00002600296,0.0002377288,0.002175872],"genre_scores_gemma":[0.9327304,0.0001373327,0.06611123,0.00003481923,0.00001139157,0.00002077102,0.00001601204,0.000007452792,0.0009306636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00110762,"threshold_uncertainty_score":0.004111826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06886006477311706,"score_gpt":0.3713244458462605,"score_spread":0.3024643810731434,"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."}}