{"id":"W1481975178","doi":"10.1109/vtcspring.2015.7146145","title":"Universal Receiver for Weighted Circularly Convolved OFDM/OQAM","year":2015,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Fading; Transmitter; Interference (communication); Channel (broadcasting); Channel state information; SIGNAL (programming language); Coding (social sciences); Algorithm; Telecommunications; Modulation (music); Electronic engineering; Mathematics; Wireless; Acoustics; Physics; Engineering; Statistics","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":[0.00008745432,0.0001021425,0.0001133613,0.00007307113,0.00002482698,0.00002128028,0.0001112946,0.00007895739,0.0001944307],"category_scores_gemma":[0.00002365242,0.0001043041,0.00005064219,0.000123392,0.00002944821,0.000189188,0.00001132459,0.00007044963,0.0002017783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444451,"about_ca_system_score_gemma":0.0000332427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001829028,"about_ca_topic_score_gemma":0.000004128613,"domain_scores_codex":[0.9994553,0.00001024639,0.0001157205,0.0001226951,0.0001109466,0.0001851404],"domain_scores_gemma":[0.9995358,0.00002692233,0.00001381653,0.0001738661,0.0001139869,0.0001356165],"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":[0.0001140169,0.00009165211,0.001168287,0.0001311244,0.0005490223,0.00002071437,0.001977383,0.008069312,0.08874507,0.03246909,0.8613212,0.005343178],"study_design_scores_gemma":[0.004018342,0.0001269026,0.0004823645,0.00002293011,0.00007345075,0.00001887903,0.001709788,0.1232942,0.04143222,0.005544505,0.822542,0.0007345067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3136624,0.0005249604,0.4302825,0.0008472229,0.006466575,0.00104303,0.00004488148,0.003405729,0.2437227],"genre_scores_gemma":[0.9815378,0.00001429425,0.009840949,0.00008210678,0.0002685473,0.00002750453,0.0000274272,0.00005202793,0.008149363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6678753,"threshold_uncertainty_score":0.42534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03300445595005105,"score_gpt":0.2258325020952084,"score_spread":0.1928280461451573,"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."}}