{"id":"W4417054196","doi":"10.1109/ecoc66593.2025.11263268","title":"Hybrid Soft/Hard-Decision Iterative Decoding of Concatenated RS-BCH Codes","year":2025,"lang":"","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Decoding methods; Concatenated error correction code; BCH code; Code (set theory); Serial concatenated convolutional codes; Sequential decoding; Convolutional code","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001591164,0.0004845487,0.0007849148,0.0008645572,0.0005461708,0.0005573923,0.001824975,0.0001542295,0.0006907475],"category_scores_gemma":[0.0003905878,0.0004382139,0.0004610406,0.002184906,0.0004756443,0.0008076142,0.001060056,0.0003889843,0.00006978925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007412824,"about_ca_system_score_gemma":0.0002726372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002650585,"about_ca_topic_score_gemma":0.00000770284,"domain_scores_codex":[0.9961839,0.0004283584,0.001150036,0.001088359,0.0005029769,0.0006463265],"domain_scores_gemma":[0.9957466,0.001921072,0.0003636212,0.001129059,0.0006645078,0.0001751635],"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":[0.0003511443,0.0003274888,0.001680672,0.0001115058,0.0002951146,0.00003036197,0.001469399,0.0001901852,0.007472723,0.6278328,0.003303949,0.3569347],"study_design_scores_gemma":[0.002653563,0.0006939931,0.003022508,0.002115135,0.0001824109,0.00002733805,0.0003728109,0.3211745,0.2697268,0.3944295,0.004610215,0.0009911782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.168061,0.001077643,0.808721,0.0005373252,0.001679835,0.0003708369,0.00002573207,0.0001731415,0.01935345],"genre_scores_gemma":[0.9775866,0.0001743534,0.01966126,0.0007524664,0.00004170742,0.00001336606,0.000004846653,0.00001440874,0.001750942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8095257,"threshold_uncertainty_score":0.9998069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770583419132134,"score_gpt":0.2769996001034644,"score_spread":0.259293765912143,"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."}}