{"id":"W2096176261","doi":"10.1109/cwit.2007.375694","title":"On PAR Reduction of Bit-Interleaved Coded OFDM with Iterative Decoding","year":2007,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Decoding methods; Reduction (mathematics); Fading; Bit error rate; Spectral efficiency; Electronic engineering; Multipath propagation; Amplifier; Algorithm; Telecommunications; Mathematics; Channel (broadcasting); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001285651,0.0001145303,0.0001331022,0.0001633882,0.00003033516,0.00001137645,0.00005830572,0.00004829939,0.0001564473],"category_scores_gemma":[0.00001524004,0.00009566144,0.00003030201,0.0002021645,0.00004420417,0.0001144261,0.000006155132,0.0001116748,0.00002965297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008047406,"about_ca_system_score_gemma":0.000006481855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008390518,"about_ca_topic_score_gemma":0.00001375764,"domain_scores_codex":[0.9993557,0.000009917309,0.0002140893,0.0001250873,0.0001300384,0.0001651898],"domain_scores_gemma":[0.9996618,0.00004179072,0.00003857154,0.0001519492,0.00005524404,0.00005065338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000617003,0.0001738713,0.0008384916,0.0001742691,0.0003978047,0.00002034512,0.00511083,0.0935383,0.8488632,0.01528427,0.01159766,0.02338398],"study_design_scores_gemma":[0.0004703806,0.0001764919,0.0009064698,0.000103519,0.00001199531,0.00004033112,0.0007323732,0.004938344,0.991709,0.0003262112,0.0004066199,0.0001782549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9008605,0.00002072263,0.05100707,0.00002992849,0.0004597308,0.0001206246,0.000001855435,0.0002524147,0.04724712],"genre_scores_gemma":[0.9930876,0.000005719921,0.006278183,0.0000114928,0.00008365284,0.000005184815,0.000003173163,0.00002340657,0.0005015159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1428458,"threshold_uncertainty_score":0.390096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010975836211708,"score_gpt":0.2349186722885054,"score_spread":0.2248089139263884,"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."}}