{"id":"W2594907695","doi":"10.1007/s11265-017-1232-z","title":"A Modular Architecture for Structured Long Block-Length LDPC Decoders","year":2017,"lang":"en","type":"article","venue":"Journal of Signal Processing Systems","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Low-density parity-check code; Computer science; Parallel computing; Block (permutation group theory); Modular design; Offset (computer science); Block size; Code (set theory); Interconnection; Clock rate; Decoding methods; Architecture; Computer hardware; Algorithm; Mathematics; Key (lock); Set (abstract data type); 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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001357277,0.0002520893,0.0004997207,0.0002653286,0.0007638333,0.001538342,0.002471913,0.0001523388,7.751693e-7],"category_scores_gemma":[0.0002763633,0.0001988655,0.0002222878,0.0001204098,0.00007048139,0.001072944,0.000155215,0.0004778123,7.592905e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110236,"about_ca_system_score_gemma":0.0003283713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002222616,"about_ca_topic_score_gemma":0.00001269981,"domain_scores_codex":[0.997851,0.00008790813,0.000718771,0.0003254158,0.0006302724,0.000386652],"domain_scores_gemma":[0.9961543,0.0001309849,0.002184878,0.0005874111,0.0007760926,0.0001663216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004540135,0.0003217011,0.007023506,0.00371972,0.0006132392,0.0007299874,0.01068681,0.05511449,0.1148875,0.001986584,0.004428073,0.8000343],"study_design_scores_gemma":[0.00352437,0.00196992,0.004360058,0.007548996,0.0002479122,0.007271629,0.0005821506,0.9023323,0.03896875,0.02516633,0.006263497,0.001764107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04391748,0.001300595,0.9525195,0.0005078397,0.001150282,0.0003182937,0.000001895314,0.0001393537,0.0001447747],"genre_scores_gemma":[0.9209615,0.000004310623,0.07820111,0.00004959752,0.0006643112,0.00001065081,2.391286e-7,0.00003003795,0.00007827665],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.877044,"threshold_uncertainty_score":0.9994981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227028607538877,"score_gpt":0.2902637503683528,"score_spread":0.2675608896144651,"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."}}