{"id":"W1598467972","doi":"10.1109/isit.1993.748589","title":"Sequential Decoding of Linear Block Codes","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Sequential decoding; Binary Golay code; Convolutional code; Algorithm; Computer science; Block code; Decoding methods; Trellis (graph); List decoding; Viterbi algorithm; Block (permutation group theory); Iterative Viterbi decoding; Linear code; Viterbi decoder; Berlekamp–Welch algorithm; Code (set theory); Concatenated error correction code; Theoretical computer science; Mathematics; Combinatorics; Set (abstract data type)","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":[0.0005511275,0.0004833998,0.0004382414,0.0005064729,0.0004151387,0.0006631539,0.0004742922,0.0003495257,0.003301663],"category_scores_gemma":[0.00261928,0.0001945041,0.000265116,0.0006687769,0.0005783828,0.0008320355,0.0006803971,0.0004534882,0.001338435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005694662,"about_ca_system_score_gemma":0.001410701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670761,"about_ca_topic_score_gemma":0.002116672,"domain_scores_codex":[0.9993032,0.000166644,0.00004842204,0.0001022337,0.0002884162,0.00009111591],"domain_scores_gemma":[0.9990792,0.0003441421,0.0001042404,0.0001625043,0.0002744028,0.00003554304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006496279,0.00009698162,0.001462926,0.0003091377,0.00005678708,0.0003425379,0.0002409497,0.1797241,0.05751061,0.3079997,0.004950366,0.4466564],"study_design_scores_gemma":[0.00006818612,0.0004386391,0.0003793564,0.00006943879,0.00003030115,0.0004118028,0.00003689119,0.8037103,0.06633519,0.1077165,0.02076469,0.00003870125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03635081,0.0003478841,0.9522948,0.0001293233,0.0001018224,0.00007237853,0.0001132582,0.0005680366,0.01002157],"genre_scores_gemma":[0.5601938,0.0006885275,0.4179802,0.0001991216,0.0001132817,0.000190161,0.0005047656,0.0002206675,0.01990948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003301663,"threshold_uncertainty_score":0.0110451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924766538395219,"score_gpt":0.2795649716677328,"score_spread":0.2603173062837806,"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."}}