{"id":"W1953727782","doi":"10.1109/pacrim.1993.407246","title":"PN code acquisition for asynchronous CDMA communications based on interference cancellation","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":"University of Victoria","funders":"","keywords":"Single antenna interference cancellation; Pseudorandom noise; Code division multiple access; Asynchronous communication; Computer science; SIGNAL (programming language); Interference (communication); Scheme (mathematics); Code (set theory); Spread spectrum; Synchronization (alternating current); Signal processing; Algorithm; Electronic engineering; Computer hardware; Telecommunications; Mathematics; Engineering; Digital signal processing; Decoding methods","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":[0.0003135037,0.0003864421,0.0002301803,0.0004714839,0.0003191899,0.0003678041,0.0005461386,0.0004472558,0.001880776],"category_scores_gemma":[0.001140863,0.0001741004,0.000156128,0.0004367662,0.0003258699,0.0007049153,0.0004814544,0.0005984925,0.0009359997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002609576,"about_ca_system_score_gemma":0.0004535373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00076377,"about_ca_topic_score_gemma":0.001141052,"domain_scores_codex":[0.9995211,0.00009248219,0.00001208781,0.00005354149,0.0002941579,0.00002666049],"domain_scores_gemma":[0.9996,0.0001660083,0.00003906847,0.00004242764,0.000133183,0.00001929702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002880131,0.00009817282,0.0007421389,0.0001784093,0.0000312196,0.0003686473,0.0001248013,0.04485445,0.2540521,0.05300749,0.004215471,0.6420391],"study_design_scores_gemma":[0.00007340323,0.0003394908,0.0007239003,0.0000276026,0.00003111178,0.00111861,0.00001534755,0.8603572,0.1059817,0.007789348,0.02349808,0.00004423922],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005544207,0.0001808035,0.9910211,0.00004426932,0.00004384605,0.00003438278,0.00001142223,0.0003824577,0.002737405],"genre_scores_gemma":[0.2017559,0.0006485535,0.788117,0.0001502998,0.0001693809,0.0001505625,0.000109601,0.00006352524,0.00883511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001880776,"threshold_uncertainty_score":0.006291807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08540613625845903,"score_gpt":0.322550228434321,"score_spread":0.237144092175862,"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."}}