{"id":"W4234843542","doi":"10.1109/tcomm.2006.877972","title":"Applications of algebraic soft-decision decoding of Reed-Solomon codes","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Decoding methods; Computer science; List decoding; Algorithm; Berlekamp–Welch algorithm; Computational complexity theory; Reed–Solomon error correction; Rayleigh fading; Fading; Sequential decoding; Concatenated error correction code; Electronic engineering; Theoretical computer science; Computer engineering; Block code; Engineering","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":[0.0006109291,0.0004751092,0.0003703748,0.0007495672,0.0004027965,0.0008023538,0.0006038475,0.0004052215,0.001566949],"category_scores_gemma":[0.004483208,0.0001983528,0.0002677311,0.0006616678,0.0009415102,0.0008175245,0.001105174,0.0007301515,0.0006197521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006082223,"about_ca_system_score_gemma":0.0006819272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004554902,"about_ca_topic_score_gemma":0.0006619567,"domain_scores_codex":[0.9989322,0.0003267712,0.00008376243,0.00009250337,0.0004949226,0.00006992576],"domain_scores_gemma":[0.9976209,0.001316131,0.0002424513,0.0003099503,0.0004691394,0.00004143377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002835764,0.00006823175,0.001236463,0.0003910666,0.0000424516,0.0003244524,0.0003264285,0.2008974,0.05611531,0.4192015,0.00126993,0.3198432],"study_design_scores_gemma":[0.00003786452,0.0002486784,0.0003504984,0.0000620319,0.00002571745,0.0006413429,0.00006661369,0.7620361,0.09201065,0.1323418,0.01212791,0.00005076205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03186767,0.0007544016,0.9530516,0.0002586717,0.00007139619,0.00006263499,0.00003640597,0.0004773503,0.01341988],"genre_scores_gemma":[0.6660341,0.001330077,0.3268006,0.0001461828,0.0001232796,0.0000642974,0.00008692488,0.00007331113,0.005341339],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001566949,"threshold_uncertainty_score":0.00524193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607861547041342,"score_gpt":0.2638310748973232,"score_spread":0.2477524594269098,"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."}}