{"id":"W2157055070","doi":"10.1002/ett.1523","title":"Collaborative algebraic decoding of interleaved Reed–Solomon codes","year":2011,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"List decoding; Concatenated error correction code; Reed–Solomon error correction; Serial concatenated convolutional codes; Sequential decoding; Berlekamp–Welch algorithm; Decoding methods; Linear code; Algorithm; Mathematics; Block code; Computer science","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":[0.001946451,0.0009095017,0.001021621,0.001025198,0.0006374032,0.001310577,0.001386194,0.0008930707,0.0009555831],"category_scores_gemma":[0.008558254,0.0003462733,0.0009081331,0.001136661,0.001293293,0.00133514,0.002099563,0.001107681,0.0005947828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059715,"about_ca_system_score_gemma":0.001456112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146166,"about_ca_topic_score_gemma":0.001252555,"domain_scores_codex":[0.9969563,0.0007224823,0.0002031668,0.0003473752,0.001480549,0.0002900767],"domain_scores_gemma":[0.9940089,0.002581813,0.0009971091,0.001067239,0.001210183,0.0001347668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004285929,0.00009540517,0.002064554,0.0001858376,0.0001623892,0.0005196441,0.0003582982,0.6429309,0.03569726,0.1867491,0.0009493318,0.1298587],"study_design_scores_gemma":[0.00002247017,0.00009015005,0.000200589,0.00002129867,0.00002915331,0.0002292322,0.00002153325,0.9500067,0.02708799,0.02074161,0.001522973,0.00002640892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02267436,0.0001147419,0.9751022,0.00005755796,0.00002104567,0.00004090375,0.00002868263,0.0001536707,0.001806822],"genre_scores_gemma":[0.5558358,0.0003042077,0.4402776,0.00007846603,0.00006180722,0.0001165542,0.0001745144,0.00007555235,0.003075486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001946451,"threshold_uncertainty_score":0.0102939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428618657381141,"score_gpt":0.2586574155446826,"score_spread":0.2343712289708712,"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."}}