{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001268772,0.0006006563,0.0004465186,0.000803131,0.000388218,0.000672847,0.0003076205,0.0005971103,0.001232143],"category_scores_gemma":[0.007016644,0.0001461931,0.0002217766,0.0006203026,0.0005968974,0.0006319321,0.0004668536,0.0004601449,0.0001865796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469626,"about_ca_system_score_gemma":0.0007008547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005390575,"about_ca_topic_score_gemma":0.002504236,"domain_scores_codex":[0.9989117,0.0003900843,0.00002421958,0.00008155133,0.0004385848,0.0001539341],"domain_scores_gemma":[0.9944428,0.00421094,0.0003200013,0.0002107843,0.0007650564,0.00005045687],"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":[0.0001627646,0.00002375124,0.001567209,0.00005936906,0.00003578813,0.0001390458,0.00007198023,0.9701255,0.008602903,0.008819271,0.0002394328,0.01015309],"study_design_scores_gemma":[0.000003125421,0.00003235225,0.0005020304,0.000006667495,0.000005893124,0.00004005758,0.000009217733,0.9952943,0.003237104,0.0007680907,0.00009501484,0.000006192384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7114159,0.001207156,0.2727193,0.0004305357,0.00004160172,0.00004335224,0.0002131413,0.0004566667,0.01347224],"genre_scores_gemma":[0.9950831,0.0001600909,0.003976475,0.0000171926,0.000009082883,0.00001025704,0.00004625125,0.00001384379,0.0006836268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005390575,"threshold_uncertainty_score":0.01071841,"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."}}