{"id":"W2380763832","doi":"","title":"An Improved SLM for PAPR Reduction of OFDM","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Transmitter; Bit error rate; Reduction (mathematics); Bandwidth (computing); Multiplexing; Algorithm; Electronic engineering; SIGNAL (programming language); Real-time computing; Telecommunications; Channel (broadcasting); Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002581161,0.0004249322,0.00028692,0.0004681596,0.0002288496,0.0002556991,0.0004256952,0.0003601465,0.001080713],"category_scores_gemma":[0.0008160706,0.0001294597,0.0003082825,0.000484676,0.0002637709,0.0005632594,0.0003314954,0.0003368275,0.00046723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001979236,"about_ca_system_score_gemma":0.0002643951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003412991,"about_ca_topic_score_gemma":0.0004903416,"domain_scores_codex":[0.9996754,0.00008661902,0.00001680468,0.00004924989,0.000150977,0.00002101737],"domain_scores_gemma":[0.9997718,0.00005661712,0.00002800982,0.00004865843,0.00008722043,0.000007668465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000280714,0.00009453121,0.001131444,0.0002879932,0.00005273415,0.0003029419,0.0002222625,0.06296125,0.3026143,0.01835014,0.002828225,0.6108735],"study_design_scores_gemma":[0.00008092937,0.0007647948,0.001717274,0.00003131779,0.00005575726,0.001025018,0.00005507263,0.8004895,0.1651058,0.006453381,0.02416361,0.00005755891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03430122,0.0007670834,0.9616168,0.0001537486,0.00008076945,0.00003626935,0.0000333848,0.0005911827,0.002419664],"genre_scores_gemma":[0.5702676,0.0008353795,0.4245253,0.0001568529,0.0001309842,0.00007677125,0.000101602,0.00005125376,0.00385429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001080713,"threshold_uncertainty_score":0.003615379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00490122613886564,"score_gpt":0.2371356335223634,"score_spread":0.2322344073834978,"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."}}