{"id":"W2139020064","doi":"10.1109/ccece.2003.1226390","title":"Reed-Solomon encoder &amp; decoder design, simulation and synthesis","year":2004,"lang":"en","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Encoder; Computer science; Reed–Solomon error correction; Decoding methods; Error detection and correction; Soft-decision decoder; Computer hardware; Forward error correction; Bit error rate; Complex programmable logic device; Block (permutation group theory); Wireless; Transmission (telecommunications); Embedded system; Block code; Algorithm; Concatenated error correction code; Telecommunications","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":[0.0004062457,0.0003614584,0.0002827222,0.0003987701,0.000206438,0.0005607145,0.0004880851,0.0003032089,0.003455342],"category_scores_gemma":[0.0008422241,0.0002028353,0.00020508,0.0002386386,0.0001955602,0.0003954006,0.0001846225,0.0003759568,0.002021957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003264775,"about_ca_system_score_gemma":0.0006600523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007118169,"about_ca_topic_score_gemma":0.000736538,"domain_scores_codex":[0.9996529,0.00006334491,0.00002904121,0.00003181005,0.0001931768,0.00002968341],"domain_scores_gemma":[0.9996966,0.0001080779,0.00002741533,0.00003982233,0.0001202617,0.000007864218],"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":[0.0003503904,0.0001069729,0.001704845,0.001436134,0.00008886719,0.0004665476,0.0003513613,0.1645001,0.2346517,0.09660942,0.008610754,0.491123],"study_design_scores_gemma":[0.0001063727,0.0005643625,0.0007724433,0.0001546621,0.00007107786,0.0008885043,0.00005519361,0.3883098,0.4584063,0.01499818,0.1356198,0.00005327183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01558485,0.0006929723,0.9635298,0.0001898625,0.000136642,0.0002115666,0.0003728142,0.003397424,0.0158841],"genre_scores_gemma":[0.3332914,0.00160512,0.6408643,0.0001224424,0.00006621507,0.0004312859,0.000745959,0.0003412862,0.02253202],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003455342,"threshold_uncertainty_score":0.01155925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04210580553516231,"score_gpt":0.2734563928173788,"score_spread":0.2313505872822165,"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."}}