{"id":"W2157777678","doi":"10.1109/icc.2009.5198672","title":"A Simplified Suboptimal Algorithm for Tone Reservation OFDM","year":2009,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computational complexity theory; Orthogonal frequency-division multiplexing; Algorithm; Reduction (mathematics); Computer science; Reservation; Tone (literature); Kernel (algebra); Frequency domain; Time domain; SIGNAL (programming language); Mathematics; Channel (broadcasting); Telecommunications","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":[0.0003358965,0.0005122931,0.0005605748,0.0002998358,0.0004003332,0.0007423855,0.0006756046,0.0006166156,0.007145433],"category_scores_gemma":[0.001273382,0.0002239888,0.0002609066,0.0004506555,0.0004102216,0.0005255573,0.0004840172,0.0006469425,0.002120056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005568683,"about_ca_system_score_gemma":0.001601068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004541052,"about_ca_topic_score_gemma":0.005015148,"domain_scores_codex":[0.9997227,0.00005671929,0.00001658056,0.00005200603,0.0001173518,0.00003465759],"domain_scores_gemma":[0.9998266,0.00005992117,0.00001202246,0.0000364838,0.00005556079,0.000009457607],"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":[0.0002794455,0.00008188353,0.0005505222,0.0001725456,0.00003805193,0.0002091554,0.0001899507,0.4115276,0.02195124,0.07379454,0.009633585,0.4815715],"study_design_scores_gemma":[0.00004494705,0.00003601914,0.0001314489,0.000008180174,0.000006481649,0.00009128339,0.0000129671,0.9873196,0.001845725,0.006317931,0.00417684,0.000008486143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002669657,0.00007940288,0.994692,0.00006861838,0.00003352057,0.00004546992,0.00002094414,0.0002753983,0.002114887],"genre_scores_gemma":[0.1542623,0.0001923138,0.8393898,0.00008684248,0.00004915537,0.0002311669,0.000145064,0.00008434645,0.005558937],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007145433,"threshold_uncertainty_score":0.02390385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117763066149077,"score_gpt":0.2886384445787641,"score_spread":0.2674608139172733,"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."}}