{"id":"W1894472550","doi":"10.1109/vetec.1993.508813","title":"DFE convergence for interference cancellation in spread spectrum multiple access systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spread spectrum; Code division multiple access; Computer science; Single antenna interference cancellation; Interference (communication); Multipath propagation; Multipath interference; Bit error rate; Electronic engineering; Convergence (economics); Code (set theory); Communications system; Decoding methods; Multiuser detection; Algorithm; Telecommunications; Engineering; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003247948,0.0001061931,0.0001507756,0.0001541509,0.00008456597,0.0003363394,0.002429704,0.00005627281,0.00008874696],"category_scores_gemma":[0.00007594275,0.0001009415,0.00003080163,0.0006088202,0.00003985902,0.000784692,0.0005359087,0.0001531992,0.00006786289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001318657,"about_ca_system_score_gemma":0.00003128741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260986,"about_ca_topic_score_gemma":0.002190017,"domain_scores_codex":[0.9986715,0.0001150619,0.0003046819,0.000344413,0.0002192109,0.0003451452],"domain_scores_gemma":[0.9983512,0.0004871431,0.00008417379,0.0008994256,0.0001010209,0.0000770667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009234749,0.000772928,0.2575676,0.0004540469,0.00006625223,0.00001825719,0.003896705,0.2192825,0.002028005,0.335279,0.05759942,0.122943],"study_design_scores_gemma":[0.000301433,0.00003038314,0.003805348,0.00004698813,4.741619e-7,0.000001934713,0.00001820039,0.9926556,0.001000037,0.0003301731,0.001684898,0.0001244864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01187895,0.0005451859,0.9791775,0.002070486,0.0004575091,0.0007481984,0.000002886482,0.0001402643,0.004979021],"genre_scores_gemma":[0.9944758,0.0002567003,0.003437785,0.00005529839,0.00004431528,0.0001750706,0.000002901512,0.000007832674,0.001544245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9825969,"threshold_uncertainty_score":0.4515035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1113316655154992,"score_gpt":0.3253057659889342,"score_spread":0.213974100473435,"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."}}