{"id":"W4389441091","doi":"10.2174/0122103279261469231019111616","title":"Iterative Filtering PAPR Reduction Method for OFDM Modulation in Fifth-generation Cellular Networks","year":2023,"lang":"en","type":"article","venue":"International Journal of Sensors Wireless Communications and Control","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Orthogonal frequency-division multiplexing; Algorithm; Reduction (mathematics); Computer science; Bit error rate; Mathematics; Electronic engineering; Telecommunications; Channel (broadcasting); 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":[0.0003072863,0.0004217138,0.0002238211,0.0004622644,0.0002848436,0.0003589966,0.0004973965,0.0004721151,0.002004943],"category_scores_gemma":[0.0009167967,0.0001215839,0.0005327538,0.0004995689,0.0003380247,0.0003051208,0.0001875369,0.0004974695,0.0006361724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004304235,"about_ca_system_score_gemma":0.0005333041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001614459,"about_ca_topic_score_gemma":0.001384599,"domain_scores_codex":[0.999647,0.00007378388,0.00001324536,0.00003803143,0.000207668,0.00002016466],"domain_scores_gemma":[0.9996494,0.0001362109,0.00003435957,0.0000325738,0.0001407377,0.000006741023],"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":[0.0001855044,0.00009753035,0.001551585,0.0003054975,0.00008397329,0.0004539262,0.0004457102,0.2753015,0.1025127,0.03614407,0.004472653,0.5784454],"study_design_scores_gemma":[0.0000107691,0.0001528341,0.0008449959,0.00003294582,0.00002894588,0.0005132795,0.00003293885,0.9534556,0.03245252,0.004165883,0.008281178,0.00002819245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008346476,0.0003761551,0.9873536,0.00007004869,0.00003720482,0.00002838495,0.00001336644,0.0002070718,0.003567795],"genre_scores_gemma":[0.3466077,0.001149748,0.6444175,0.0001127094,0.0001123451,0.0001579227,0.0001237604,0.00007850816,0.00723985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002004943,"threshold_uncertainty_score":0.006707251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703952326497854,"score_gpt":0.2958623927419395,"score_spread":0.268822869476961,"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."}}