{"id":"W1564196590","doi":"10.1109/dcc.1998.672315","title":"Optimal decoding of entropy coded memoryless sources over binary symmetric channels","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Algorithm; Decoding methods; Soft-decision decoder; Computer science; Huffman coding; Encoder; Viterbi decoder; Binary number; Entropy (arrow of time); Bitstream; Mathematics; Data compression; Arithmetic","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":[],"consensus_categories":[],"category_scores_codex":[0.0001577015,0.0001633801,0.0002517333,0.0004176864,0.00009001017,0.00007354264,0.001326972,0.00006258737,0.0004081784],"category_scores_gemma":[0.00006434588,0.000138146,0.00007334012,0.000875878,0.00005793554,0.0008840551,0.0008619615,0.0001176858,0.00003310888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002927798,"about_ca_system_score_gemma":0.000007889359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001384134,"about_ca_topic_score_gemma":2.238546e-7,"domain_scores_codex":[0.9985442,0.00005687646,0.0003193712,0.0004106582,0.0003678423,0.000301078],"domain_scores_gemma":[0.9987043,0.0001834217,0.000176989,0.0007627505,0.00007223924,0.0001002847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005681074,0.001688406,0.002265907,0.0002070458,0.0001436175,0.0002009712,0.002390842,0.01106933,0.1651791,0.4453937,0.0820194,0.2893849],"study_design_scores_gemma":[0.0003562133,0.0001377835,0.0001587304,0.00004683418,0.000004768694,0.00001388112,0.00002816944,0.6511625,0.3436019,0.001102547,0.003129569,0.000257142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07425538,0.0004371151,0.9223419,0.0001179375,0.0001903434,0.0001618986,0.000005345015,0.0005117881,0.001978265],"genre_scores_gemma":[0.6514371,0.0001056914,0.347697,0.0001305553,0.00003372218,0.00001248655,0.000001660078,0.00001036476,0.0005714275],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6400932,"threshold_uncertainty_score":0.5633429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02861070877017906,"score_gpt":0.2708631827636999,"score_spread":0.2422524739935208,"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."}}