{"id":"W1986919301","doi":"10.1007/s11277-009-9663-x","title":"Bit-Error Probability of Asynchronous Multicode DS-CDMA Systems in Rayleigh Fading","year":2009,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rayleigh fading; Code division multiple access; Fading; Computer science; Algorithm; Additive white Gaussian noise; Spread spectrum; Bit error rate; Channel (broadcasting); Telecommunications; 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":[0.006489772,0.00137215,0.001351865,0.001395751,0.001034814,0.002221805,0.001295228,0.002574528,0.003307343],"category_scores_gemma":[0.03482517,0.0009051287,0.0004186277,0.001459273,0.002133809,0.002600893,0.002100806,0.001650744,0.0006588968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810638,"about_ca_system_score_gemma":0.001537445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004115259,"about_ca_topic_score_gemma":0.003333773,"domain_scores_codex":[0.9964613,0.001048237,0.00020339,0.0003995347,0.001170316,0.0007172297],"domain_scores_gemma":[0.9245948,0.06365819,0.003049651,0.002023517,0.006040066,0.0006337996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00371355,0.0002019923,0.02027845,0.0004845352,0.000279882,0.0007890352,0.0008729626,0.8672236,0.01713966,0.04963126,0.002011996,0.03737297],"study_design_scores_gemma":[0.00009153886,0.0002110312,0.006614281,0.00007398401,0.0001506924,0.0004781738,0.0001739982,0.9726186,0.006737581,0.01235308,0.0004040679,0.00009284225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7761914,0.002929652,0.2064582,0.001669391,0.0002067312,0.00009659672,0.001103737,0.0006419189,0.01070241],"genre_scores_gemma":[0.991364,0.0006006395,0.005142324,0.0001158761,0.00007416549,0.00004336813,0.000257335,0.00006425766,0.002337925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006489772,"threshold_uncertainty_score":0.03432161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07558262200724127,"score_gpt":0.3314371431158143,"score_spread":0.255854521108573,"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."}}