{"id":"W4235953302","doi":"10.1109/wcnc.2013.6554527","title":"Program","year":2013,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; University of Texas at Dallas; National Chiao Tung University; Southeast University; Shanghai Jiao Tong University; Tsinghua University; University of Waterloo; Shanghai Educational Development Foundation; Beijing University of Posts and Telecommunications; Institute of Computing Technology, Chinese Academy of Sciences; Universidad Carlos III de Madrid; Intel Corporation; University of Nebraska-Lincoln; Chinese Academy of Sciences; Tshwane University of Technology; Università degli Studi di Padova; Beijing Jiaotong University; Deakin University; University of Sydney; National University of Singapore; Indian Institute of Science; Aalto-Yliopisto","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001912938,0.0006557017,0.0004079475,0.001087678,0.002244813,0.003634985,0.002045718,0.001484152,0.542096],"category_scores_gemma":[0.005636863,0.0002700965,0.0005428288,0.001165961,0.0005558989,0.002695938,0.00333525,0.001537679,0.2814417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002079519,"about_ca_system_score_gemma":0.0047718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003722091,"about_ca_topic_score_gemma":0.004747049,"domain_scores_codex":[0.998389,0.0002543222,0.00005762119,0.0003710607,0.0006291306,0.000298895],"domain_scores_gemma":[0.9962072,0.0003223011,0.0001183953,0.0004690987,0.002042535,0.0008404764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001489076,0.0001284569,0.001068018,0.0001941922,0.000007950982,0.0001022748,0.0004198981,0.0002768729,0.0008633516,0.05071861,0.754205,0.1918665],"study_design_scores_gemma":[0.000008375964,0.00002473451,0.000425947,0.00005440599,0.000002601949,0.00006330875,0.0001543881,0.0001151339,0.0002962385,0.003616861,0.9952328,0.000005376858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003411503,0.00103947,0.01822666,0.01248018,0.004517415,0.0006813204,0.007185856,0.003628514,0.9488291],"genre_scores_gemma":[0.01923122,0.001188398,0.009800451,0.005058158,0.0008429097,0.0006845374,0.008021343,0.001121074,0.9540519],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.457904,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004945338619082677,"score_gpt":0.2005120887480938,"score_spread":0.1955667501290112,"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."}}