{"id":"W4366250339","doi":"10.1109/ccwc57344.2023.10099102","title":"PAPR Reduction Techniques for MC-CDMA System","year":2023,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Clipping (morphology); Code division multiple access; Reduction (mathematics); Sequence (biology); Algorithm; Spread spectrum; Electronic engineering; Computer science; Mathematics; 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":[0.0002177094,0.0003204589,0.0001642788,0.0003941121,0.0001739761,0.0002663598,0.0002470479,0.0002796871,0.0007210902],"category_scores_gemma":[0.0009036207,0.0001021362,0.0001700959,0.0003743921,0.0002459743,0.0002156297,0.0001600959,0.0003203957,0.0002909478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002315197,"about_ca_system_score_gemma":0.0003046156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005646169,"about_ca_topic_score_gemma":0.0005986548,"domain_scores_codex":[0.999689,0.00006205143,0.000009876308,0.00002674702,0.0002011324,0.00001118794],"domain_scores_gemma":[0.9996704,0.0001262192,0.00004367123,0.0000371178,0.0001167516,0.000005879199],"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":[0.0001750928,0.00004554466,0.001011001,0.0003577964,0.0000491808,0.0004239191,0.0002819709,0.1231439,0.3786188,0.02471108,0.001907179,0.4692745],"study_design_scores_gemma":[0.00002360643,0.0005088568,0.002385312,0.00004427944,0.00005556556,0.002090009,0.00005120971,0.7751139,0.1962202,0.005369592,0.0180938,0.00004371881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04355709,0.001327624,0.9488071,0.0001732507,0.00005554488,0.00003921421,0.00002027608,0.0004812689,0.005538622],"genre_scores_gemma":[0.5604348,0.001846918,0.4325981,0.0001124433,0.0001264451,0.00005910209,0.00006767479,0.00004683107,0.004707859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007210902,"threshold_uncertainty_score":0.002412319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633357115169385,"score_gpt":0.2456409294678322,"score_spread":0.2293073583161383,"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."}}