{"id":"W2114630153","doi":"10.1109/lcomm.2009.12.091590","title":"Power allocation for coded OFDM via linear programming","year":2009,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Quadrature amplitude modulation; Phase-shift keying; Modulation (music); Transmission (telecommunications); Convex optimization; Algorithm; Bit error rate; Electronic engineering; Mathematical optimization; Telecommunications; Mathematics; Decoding methods; Regular polygon; Channel (broadcasting)","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":[0.0001410503,0.000126759,0.0001164434,0.0001111131,0.0001764974,0.00003553004,0.0005960496,0.00006001234,0.000008244143],"category_scores_gemma":[0.000025494,0.0001500505,0.00007217684,0.0002189003,0.00007065914,0.0001718791,0.00001720897,0.0001774824,0.00004421008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075728,"about_ca_system_score_gemma":0.000009076011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003632825,"about_ca_topic_score_gemma":0.000002920778,"domain_scores_codex":[0.9992815,0.00003161825,0.0002569492,0.0001207832,0.00009681869,0.0002123137],"domain_scores_gemma":[0.9985359,0.00008133527,0.00004686012,0.001212075,0.00007028304,0.00005349729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001676563,0.0002100383,0.00006298037,0.00004411975,0.0001312766,6.541361e-7,0.001569481,0.04238874,0.8399066,0.001406759,0.04927031,0.06499227],"study_design_scores_gemma":[0.001212853,0.0001153013,0.001164119,0.00008788223,0.00007530523,0.00003124934,0.0001825064,0.2170795,0.04531929,0.0005374409,0.7333159,0.0008786228],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1056153,0.0006784239,0.8493384,0.03716704,0.00113559,0.001464645,0.00001847102,0.001832917,0.002749238],"genre_scores_gemma":[0.8966057,0.00004879955,0.1019148,0.0009961063,0.00009108907,0.0001970556,0.00006286587,0.00003119664,0.0000523847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7945873,"threshold_uncertainty_score":0.6118882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450618360885028,"score_gpt":0.2818062619390977,"score_spread":0.2573000783302474,"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."}}