{"id":"W2594687169","doi":"","title":"An application of CMA circular array for CDMA systems","year":2002,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Rayleigh fading; Additive white Gaussian noise; Fading; Circular buffer; Code division multiple access; Channel (broadcasting); Computer science; Antenna array; Base station; Electronic engineering; Antenna (radio); Algorithm; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000335519,0.0003283485,0.0002196748,0.0002793456,0.0003687785,0.0004732368,0.0003988275,0.0008454226,0.001552996],"category_scores_gemma":[0.001378212,0.0001253165,0.0001973521,0.0004919106,0.0003520628,0.0004154282,0.0003441097,0.0004758484,0.0006189912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002608728,"about_ca_system_score_gemma":0.0003289591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006847483,"about_ca_topic_score_gemma":0.0005263014,"domain_scores_codex":[0.9995907,0.0001306026,0.00001166897,0.00008351453,0.0001462852,0.00003720173],"domain_scores_gemma":[0.9993716,0.0002500027,0.0000449799,0.0001031912,0.0002023967,0.00002783339],"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":[0.0007383794,0.0001441836,0.006006455,0.0003412628,0.0001256303,0.0005854231,0.0003534565,0.1911863,0.2461306,0.06477812,0.003119255,0.4864909],"study_design_scores_gemma":[0.00005179473,0.0006619661,0.002127553,0.00004010647,0.00006372355,0.001785279,0.0001059904,0.8274376,0.1237946,0.01138006,0.03249669,0.00005459111],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06294704,0.001657155,0.9229014,0.0004856208,0.0003199346,0.00005760071,0.00003345164,0.0007220811,0.01087574],"genre_scores_gemma":[0.7550927,0.000901529,0.2395654,0.0002264739,0.0001327632,0.00004486542,0.00004110483,0.00004805853,0.003947123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001552996,"threshold_uncertainty_score":0.00519532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150267796044039,"score_gpt":0.2510909024046625,"score_spread":0.2395882244442221,"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."}}