{"id":"W4229003883","doi":"10.1049/cmu2.12415","title":"Performance analysis of LDPC coded GFDM systems","year":2022,"lang":"en","type":"article","venue":"IET Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"China Scholarship Council","keywords":"Low-density parity-check code; Computer science; Decoding methods; Algorithm","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":[0.0001713754,0.00005730244,0.0001547206,0.0002566655,0.0002170408,0.000009394184,0.0007395372,0.00001718646,0.0001408682],"category_scores_gemma":[0.00000875698,0.00007006766,0.00006962161,0.001223409,0.00005230261,0.00005930172,0.0001953653,0.0001763526,0.00001308842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009415468,"about_ca_system_score_gemma":0.00001334628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000491276,"about_ca_topic_score_gemma":0.0000112105,"domain_scores_codex":[0.9993978,0.00007476117,0.0002399106,0.00005951282,0.0001398352,0.00008823984],"domain_scores_gemma":[0.9983069,0.00007875109,0.0000539095,0.001489918,0.00004517613,0.00002537101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001623106,0.00003876577,0.002251198,0.00001893235,0.0004860515,6.452669e-8,0.0006128335,0.9905592,0.001758829,0.001576813,0.002338513,0.0003571504],"study_design_scores_gemma":[0.0000783002,0.00001317054,0.00537581,0.000004609518,0.0002315302,0.000003256054,0.0006584549,0.9296972,0.0001637563,0.000008186202,0.06367414,0.0000915717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911455,0.00422921,0.00206837,0.0004408374,0.0008084908,0.0003449846,0.0003333355,0.0006212895,0.07969846],"genre_scores_gemma":[0.9983386,0.0003538085,0.0006803,0.000007314156,0.000008402907,0.0001786139,0.0001043543,0.00001230158,0.0003163055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08688357,"threshold_uncertainty_score":0.2857276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983245580459984,"score_gpt":0.2574481106989731,"score_spread":0.2276156548943733,"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."}}