{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876993,0.0001365629,0.0001484216,0.0001791188,0.0005237946,0.00007946672,0.0006233569,0.00003283481,0.00003465534],"category_scores_gemma":[4.741996e-7,0.0001389939,0.00005481132,0.0003806927,0.0005448028,0.0002583606,0.00001829784,0.0001710361,0.000005294037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006883534,"about_ca_system_score_gemma":0.000036593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002358729,"about_ca_topic_score_gemma":0.0005303721,"domain_scores_codex":[0.9990338,0.00005101332,0.0003077262,0.0001801,0.0001872673,0.0002400631],"domain_scores_gemma":[0.9992368,0.0001955519,0.00005780122,0.0004437385,0.00002596342,0.0000401298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000392496,0.001982175,0.005098988,0.0001846948,0.0004759671,0.00000148725,0.001711763,0.5701048,0.02523837,0.1095392,0.001808287,0.2838151],"study_design_scores_gemma":[0.001386457,0.001401597,0.00559665,0.0001538028,0.00009371187,0.00006079745,0.0008541594,0.8938575,0.04070317,0.01170626,0.04323274,0.0009531049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5347845,0.008904192,0.4473412,0.002088214,0.0004982946,0.0005239475,0.0001159903,0.0004509698,0.005292717],"genre_scores_gemma":[0.9726786,0.001260699,0.02592106,0.00005267816,0.00001864786,0.00003154685,0.00001211344,0.000009230694,0.00001540455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4378941,"threshold_uncertainty_score":0.5668007,"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."}}