{"id":"W4390465885","doi":"10.20535/s0021347023040039","title":"Зменшення відношення пікової до середньої потужності за допомогою алгоритму компандування для NOMA сигналу","year":2023,"lang":"uk","type":"article","venue":"Известия высших учебных заведений Радиоэлектроника","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Noma; Computer science; Computer network","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":[0.002253385,0.00075363,0.000627197,0.002305403,0.002577124,0.006769837,0.001075738,0.00169574,0.0358106],"category_scores_gemma":[0.008427469,0.0006858413,0.0007273674,0.002217599,0.002662724,0.004734573,0.002737489,0.002339417,0.01223568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044126,"about_ca_system_score_gemma":0.00385402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006779756,"about_ca_topic_score_gemma":0.006298333,"domain_scores_codex":[0.9967268,0.0008257312,0.0002312564,0.0006296142,0.001248755,0.0003378165],"domain_scores_gemma":[0.9952763,0.001593326,0.0003549318,0.0007063218,0.001739416,0.0003295869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003333428,0.0001496553,0.01034673,0.001131784,0.0001225582,0.001458145,0.004919731,0.006132098,0.01746325,0.5537074,0.03655327,0.367682],"study_design_scores_gemma":[0.00005309508,0.0001595832,0.01274375,0.0006444925,0.0001280794,0.002067298,0.005700353,0.009991253,0.01082616,0.273728,0.683715,0.0002429043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04621937,0.008211643,0.3632322,0.01118585,0.002541869,0.0004575694,0.00250863,0.001642011,0.5640008],"genre_scores_gemma":[0.550676,0.01147133,0.2291585,0.002481756,0.001466157,0.0009777856,0.002021701,0.0009911057,0.2007556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0358106,"threshold_uncertainty_score":0.1197985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789701955910465,"score_gpt":0.2372955434230696,"score_spread":0.2193985238639649,"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."}}