{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003482811,0.0001197125,0.000122786,0.0001512886,0.0003554503,0.0002058733,0.002755999,0.00006960976,0.0001943339],"category_scores_gemma":[0.00004860876,0.0001176382,0.00005882398,0.000426249,0.00009275133,0.0003161086,0.000384973,0.0001927201,0.000161262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001967238,"about_ca_system_score_gemma":0.00004763447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003373673,"about_ca_topic_score_gemma":0.0001486814,"domain_scores_codex":[0.9987136,0.0002058869,0.0002551559,0.0002987802,0.0002546074,0.0002719545],"domain_scores_gemma":[0.9959284,0.0007491583,0.00009630366,0.002887398,0.0002498751,0.00008884814],"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":[0.00005206446,0.001051218,0.0005990837,0.00005485163,0.00003585985,0.000001311686,0.001141549,0.0598341,0.001106593,0.4052593,0.04332444,0.4875397],"study_design_scores_gemma":[0.0003617715,0.000145011,0.0003769597,0.00003786854,0.000001891623,9.25565e-7,0.000009436742,0.9910935,0.0006322308,0.0008348686,0.006373019,0.0001325784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003627489,0.0001600255,0.9645482,0.01088846,0.00008240317,0.0004649948,0.000008014726,0.0002331058,0.02325207],"genre_scores_gemma":[0.8703659,0.0001213975,0.1277587,0.0008034413,0.00003265495,0.0002110411,0.00002983769,0.00001098091,0.0006660568],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9312593,"threshold_uncertainty_score":0.5121378,"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."}}