{"id":"W2079486580","doi":"10.1109/isssta.2006.311772","title":"Multiuser Detection for S-UMTS and GMR-1 Mobile Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer; Ministère de la Santé et des Services sociaux","keywords":"UMTS frequency bands; Rician fading; Computer science; CDMA2000; Single antenna interference cancellation; GSM; Code division multiple access; Communications satellite; Telecommunications link; Electronic engineering; Multiuser detection; Real-time computing; Channel (broadcasting); Computer network; Fading; Engineering; Satellite","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007195844,0.0004199819,0.0004554804,0.0004982371,0.0002561038,0.0005393439,0.0003662252,0.000636721,0.001417771],"category_scores_gemma":[0.002785939,0.0001813394,0.0003477593,0.0005039852,0.0003226265,0.000357964,0.0004947244,0.0003741206,0.0005291233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004020641,"about_ca_system_score_gemma":0.0005664774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195698,"about_ca_topic_score_gemma":0.001821012,"domain_scores_codex":[0.9993445,0.0002450816,0.00002349131,0.00005890495,0.0002381147,0.00008983738],"domain_scores_gemma":[0.9987299,0.00080447,0.0001460188,0.000107964,0.0001814073,0.00003023732],"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":[0.0007791165,0.0001104804,0.005906421,0.0005114738,0.0001751753,0.0007079655,0.0002696373,0.5484471,0.08268307,0.0475654,0.00238868,0.3104555],"study_design_scores_gemma":[0.00001706586,0.0002653435,0.0009743514,0.00002591969,0.00003100746,0.0003318946,0.00002787875,0.9736962,0.01659725,0.005289988,0.002724691,0.00001844028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1148081,0.002678433,0.8738275,0.0003721596,0.00007356961,0.00006684396,0.00009098471,0.0005051317,0.00757734],"genre_scores_gemma":[0.8797142,0.001374945,0.1162239,0.0001424487,0.0000651769,0.00005155322,0.00009044231,0.00001726704,0.002319945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001417771,"threshold_uncertainty_score":0.00474298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00467101120897787,"score_gpt":0.2118662102677653,"score_spread":0.2071951990587874,"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."}}