{"id":"W2067020701","doi":"10.1093/ietfec/e89-a.10.2640","title":"Multiple L-Shift Complementary Sequences","year":2006,"lang":"en","type":"article","venue":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Computer science","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":[0.0003817467,0.0005219457,0.0004398515,0.0007278263,0.000502717,0.000607411,0.0005262792,0.0007013274,0.003217522],"category_scores_gemma":[0.00189051,0.0002011015,0.0003218972,0.0005875923,0.0007465439,0.001159547,0.0009447082,0.0009925409,0.0009907122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004170923,"about_ca_system_score_gemma":0.0007442924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00027563,"about_ca_topic_score_gemma":0.0003732819,"domain_scores_codex":[0.9995158,0.0000889946,0.00003156194,0.0001257246,0.0001691593,0.00006870723],"domain_scores_gemma":[0.9988343,0.0002994532,0.0001769447,0.0001891813,0.0003703226,0.0001298169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004289428,0.0001798357,0.001665338,0.000380822,0.00003849379,0.002532011,0.000655433,0.02505557,0.2459399,0.4494933,0.004166522,0.2694639],"study_design_scores_gemma":[0.0001948712,0.001974869,0.002400292,0.0003020286,0.0000696654,0.01159213,0.0003196041,0.2476568,0.2316497,0.2461176,0.2574586,0.0002638758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09697907,0.001034979,0.8813124,0.000702081,0.0006925648,0.0001378734,0.0002006398,0.0003631523,0.01857717],"genre_scores_gemma":[0.4505596,0.001152757,0.5318155,0.0009619794,0.0006043613,0.0002430095,0.0002611471,0.0000961293,0.0143056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003217522,"threshold_uncertainty_score":0.01076365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325880718798054,"score_gpt":0.2602964053219415,"score_spread":0.237037598133961,"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."}}