{"id":"W2155487873","doi":"10.1109/glocom.2003.1258663","title":"Peak-to-average power ratio reduction of an OFDM signal using guided scrambling coding","year":2004,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Scrambling; Orthogonal frequency-division multiplexing; Computer science; Coding (social sciences); Multiplexing; Bit error rate; Algorithm; Transmission (telecommunications); Electronic engineering; Decoding methods; Mathematics; Telecommunications; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001907334,0.0001548749,0.0001775908,0.0002602083,0.0000851821,0.00004522527,0.0001202092,0.00007920048,0.0006028204],"category_scores_gemma":[0.0000272934,0.000171888,0.00005558303,0.0003797232,0.00002867302,0.000462602,0.00002350663,0.0001258996,0.00004981095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437487,"about_ca_system_score_gemma":0.0000415956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008557304,"about_ca_topic_score_gemma":0.000002250642,"domain_scores_codex":[0.9989324,0.00001915522,0.0003825553,0.0002013534,0.0002270042,0.0002375419],"domain_scores_gemma":[0.9994805,0.000008481752,0.0000487778,0.0002391097,0.000102578,0.0001205243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003705029,0.00001276987,0.000003008953,0.00001106346,0.00001267933,0.00000135255,0.0002735624,0.543963,0.4548362,0.0005966633,0.00007992895,0.0002061186],"study_design_scores_gemma":[0.000632322,0.00007632927,0.0001320146,0.000103,0.00002049574,0.0001545992,0.0005213677,0.1002055,0.8968506,0.0004714025,0.0004636077,0.0003687539],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.72562,0.00001981407,0.2664272,0.00003832463,0.0005945991,0.0001626524,0.00000245749,0.0003324942,0.006802495],"genre_scores_gemma":[0.968157,0.000002917045,0.03137384,0.00001901853,0.0002076095,0.000004484848,0.000005087059,0.00004377826,0.0001862629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4437574,"threshold_uncertainty_score":0.7009391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539087588363211,"score_gpt":0.2837713107509406,"score_spread":0.2483804348673085,"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."}}