{"id":"W2126351019","doi":"10.1109/vetec.1992.245394","title":"Equalization for interference cancellation in spread spectrum multiple access systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Spread spectrum; Multipath propagation; Computer science; Fading; Interference (communication); Direct-sequence spread spectrum; Equalizer; Equalization (audio); Single antenna interference cancellation; Sequence (biology); Computer network; Electronic engineering; Code division multiple access; Telecommunications; Channel (broadcasting); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005836275,0.00008332796,0.0001159845,0.0001643407,0.0000735568,0.0003649543,0.001169694,0.00005146762,0.00001321551],"category_scores_gemma":[0.0002281562,0.00007998735,0.00002109669,0.0006367984,0.00001844637,0.0006814715,0.0001893405,0.00009175138,0.00001094609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403712,"about_ca_system_score_gemma":0.00009277933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005943627,"about_ca_topic_score_gemma":0.002059069,"domain_scores_codex":[0.9988051,0.0002267342,0.000272082,0.0002651317,0.0001759691,0.0002549925],"domain_scores_gemma":[0.9985468,0.0005680628,0.00008041746,0.0006505566,0.00010517,0.00004898975],"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":[0.0000120378,0.00007607393,0.02871712,0.00005437904,0.000006358528,6.582419e-7,0.000367249,0.09142582,0.0003888189,0.8722028,0.001126202,0.005622493],"study_design_scores_gemma":[0.0003618421,0.00002495577,0.002144032,0.00004168357,4.666351e-7,0.000001248428,0.00002804931,0.990179,0.00305523,0.00199996,0.002052084,0.0001114316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006354916,0.000176007,0.9877679,0.000386256,0.0002453329,0.0005927713,0.000001103369,0.00008329029,0.004392427],"genre_scores_gemma":[0.9929369,0.00005982806,0.006233898,0.00003592203,0.00001975274,0.000151325,0.00000785812,0.000007601273,0.000546904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.986582,"threshold_uncertainty_score":0.3519262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0935303903317965,"score_gpt":0.3549115830983723,"score_spread":0.2613811927665758,"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."}}