{"id":"W2018664603","doi":"10.1109/mwscas.2007.4488774","title":"Design and implementation of an adaptive multiuser detector for multirate WCDMA systems","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Max-Planck-Institut für Chemie; National Science Council","keywords":"Detector; W-CDMA; Computer science; Field-programmable gate array; Code division multiple access; Virtex; Electronic engineering; Multiuser detection; Real-time computing; Computer hardware; Engineering; Telecommunications","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":[0.001333431,0.000115118,0.000160635,0.00013997,0.0001226911,0.0002081144,0.0007553415,0.00006476096,0.000002551211],"category_scores_gemma":[0.00004581415,0.0001099123,0.0000182724,0.0002496293,0.00007750036,0.0008348675,0.0001985421,0.0001017014,0.000001363916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003929751,"about_ca_system_score_gemma":0.00008785513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008549557,"about_ca_topic_score_gemma":0.00002466764,"domain_scores_codex":[0.9988356,0.00002885945,0.0003009981,0.0003064231,0.0002275053,0.0003006101],"domain_scores_gemma":[0.998235,0.0002464121,0.000196885,0.0002096692,0.0009903093,0.000121657],"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":[0.0004086963,0.0001663016,0.004368372,0.0003444565,0.0000817421,0.000001901865,0.02237101,0.0003094448,0.2197422,0.1524308,0.000192748,0.5995823],"study_design_scores_gemma":[0.0007094725,0.0004743297,0.004804854,0.0000492192,0.000004644633,0.000004024773,0.002237342,0.9215764,0.0694148,0.0004793613,0.00009258147,0.0001529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2484937,0.00006257981,0.7504023,0.00005048569,0.00003813786,0.0008538847,0.00000164581,0.00005649624,0.00004079327],"genre_scores_gemma":[0.8359905,0.00002014695,0.1638023,0.00001177428,0.0000221248,0.0001240374,0.000001456076,0.000008888885,0.00001874517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.921267,"threshold_uncertainty_score":0.4482093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08754826074778202,"score_gpt":0.3522258988995459,"score_spread":0.2646776381517639,"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."}}