{"id":"W4308130451","doi":"10.32920/21476439.v1","title":"Equalization of Multiuser Wireless CDMA Downlink Considering Transmitter Nonlinearity Using Walsh Codes","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Electronic engineering; Telecommunications link; Code division multiple access; Bit error rate; Wireless; Transmitter; Amplifier; Multipath propagation; Channel (broadcasting); Telecommunications; Engineering; Bandwidth (computing)","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":[0.0003766467,0.0003700381,0.0003023899,0.0001875544,0.0001933131,0.0003714058,0.0002185638,0.0004107342,0.0005769228],"category_scores_gemma":[0.00148528,0.000185096,0.0002397305,0.0003198512,0.0003230747,0.0004869222,0.0003694005,0.0003169411,0.0001734892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003242231,"about_ca_system_score_gemma":0.000500286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002758367,"about_ca_topic_score_gemma":0.002502169,"domain_scores_codex":[0.9997306,0.00007727028,0.00001038871,0.00003277307,0.0001068865,0.00004205156],"domain_scores_gemma":[0.9995356,0.0002624615,0.0000459311,0.00003447877,0.0001075145,0.00001415329],"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":[0.0002485214,0.0000406251,0.00236551,0.00007585961,0.00005764714,0.0004288647,0.0001447877,0.8533831,0.07226504,0.008738316,0.0002124646,0.06203928],"study_design_scores_gemma":[0.00000433511,0.0000305047,0.0002894219,0.000004288226,0.000005666421,0.00004404758,0.000008927924,0.9904622,0.008636385,0.0003403063,0.0001692366,0.000004533574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2981724,0.0002504463,0.698337,0.0001094716,0.00003593181,0.00002730322,0.00002557412,0.0001306647,0.002911198],"genre_scores_gemma":[0.9330874,0.0002223465,0.0647484,0.00002670343,0.00001809878,0.0000238609,0.00002565346,0.00001041539,0.001837137],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002758367,"threshold_uncertainty_score":0.005484641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1057848295860351,"score_gpt":0.3609401090024494,"score_spread":0.2551552794164142,"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."}}