{"id":"W2084368700","doi":"10.1109/pacrim.2007.4313236","title":"ß-complementary Sequences and Peak-to-Mean Envelope Power Ratio Reduction in OFDM","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 Alberta","funders":"","keywords":"Binary Golay code; Complementary sequences; Orthogonal frequency-division multiplexing; Sequence (biology); Encoding (memory); Code (set theory); Reduction (mathematics); ENCODE; Envelope (radar); Algorithm; Power (physics); Mathematics; Computer science; Theoretical computer science; Discrete mathematics; Artificial intelligence; Telecommunications; Biology; Physics; Gene; Programming language; Channel (broadcasting); Genetics","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":[0.0002606162,0.0001001963,0.00009068126,0.000205582,0.00003516858,0.00002254916,0.00006471825,0.00003449227,0.0005136079],"category_scores_gemma":[0.000008157214,0.0001020295,0.00001269458,0.0002434193,0.00002787618,0.0001916495,0.00002038265,0.00009119161,0.00005318694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094915,"about_ca_system_score_gemma":0.000008725905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001415741,"about_ca_topic_score_gemma":0.0002501786,"domain_scores_codex":[0.9992874,0.00001027924,0.0002279383,0.0001543058,0.000112853,0.0002072085],"domain_scores_gemma":[0.9997657,0.00001496138,0.00001246788,0.0001105833,0.00001681823,0.00007948268],"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":[0.00008933492,0.000116728,0.01658907,0.0001284681,0.0001455927,0.0000607012,0.02092073,0.04716839,0.8041125,0.01235316,0.0541615,0.04415382],"study_design_scores_gemma":[0.002173987,0.000314608,0.331579,0.0001526805,0.00002973899,0.0005427607,0.02932931,0.004761509,0.481112,0.00306471,0.1449428,0.001996888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635969,0.00008653528,0.00525102,0.0004482241,0.0007670506,0.0001927703,0.000002239017,0.0002051339,0.0294501],"genre_scores_gemma":[0.9935213,0.00001887186,0.005784659,0.00007074166,0.00009864477,0.000006943985,0.000005834102,0.00001479782,0.0004781952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3230005,"threshold_uncertainty_score":0.5623646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431383797338425,"score_gpt":0.2558734768345999,"score_spread":0.2415596388612157,"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."}}