{"id":"W2134032873","doi":"10.1109/isssta.2000.878070","title":"Performance analysis of space-time MMSE detection in synchronous multiuser DS-CDMA","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Code division multiple access; Minimum mean square error; Multiuser detection; Additive white Gaussian noise; Bit error rate; Rayleigh fading; Fading; Computer science; Algorithm; Channel (broadcasting); Detector; Electronic engineering; Mathematics; Telecommunications; Statistics; 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":[0.001760307,0.0005535751,0.0004208933,0.0004871178,0.0002629621,0.0007321959,0.0003651658,0.0005982874,0.0009973182],"category_scores_gemma":[0.008427612,0.0003250795,0.0002277945,0.0003975827,0.0006478587,0.000785323,0.0005597768,0.0002968736,0.0003252017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007911228,"about_ca_system_score_gemma":0.0006184228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002335583,"about_ca_topic_score_gemma":0.00184984,"domain_scores_codex":[0.9988507,0.000456405,0.00004142756,0.0001061451,0.0004183972,0.0001268848],"domain_scores_gemma":[0.9964678,0.002326444,0.0002701253,0.0002079949,0.0006777608,0.00004983238],"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":[0.0007347365,0.00004067148,0.005345197,0.000200624,0.0001197405,0.000172955,0.0001895001,0.868956,0.02663211,0.03977918,0.0006813813,0.05714786],"study_design_scores_gemma":[0.000006585052,0.00009814456,0.0009325791,0.000009539827,0.00001631899,0.00006767529,0.00001790875,0.989852,0.006542375,0.002170822,0.0002741187,0.0000119117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2540445,0.001557435,0.7371651,0.0002646536,0.00004424164,0.00002406009,0.0001048096,0.0004827109,0.006312424],"genre_scores_gemma":[0.9716172,0.0004821316,0.02638204,0.0000439186,0.00002853325,0.00001961993,0.0000635109,0.00002814588,0.001334906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002335583,"threshold_uncertainty_score":0.009309471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949577699022653,"score_gpt":0.248360444064995,"score_spread":0.2288646670747685,"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."}}