{"id":"W2102842712","doi":"10.1109/icassp.1989.266392","title":"Combined source-channel coding","year":2003,"lang":"en","type":"article","venue":"International Conference on Acoustics, Speech, and Signal Processing","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Encoder; Binary number; Binary symmetric channel; Computer science; Coding (social sciences); Algorithm; Channel code; BCH code; Channel (broadcasting); Source code; Variable-length code; Decoding methods; Binary code; Theoretical computer science; Mathematics; Arithmetic; Telecommunications; Statistics; Programming language","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":[0.0002625654,0.0001927182,0.0001696433,0.0001416604,0.0002790723,0.0007049694,0.0005763348,0.00007836561,0.0001069721],"category_scores_gemma":[0.00008628843,0.0001722753,0.00003379804,0.0001060791,0.00008000085,0.0005706483,0.0001613149,0.0002371739,0.00002316373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003894726,"about_ca_system_score_gemma":0.0001196228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001233726,"about_ca_topic_score_gemma":7.094981e-7,"domain_scores_codex":[0.9985283,0.00004220831,0.0002600253,0.0004447312,0.0004740709,0.0002506757],"domain_scores_gemma":[0.9991435,0.00007765065,0.0001450065,0.0001740654,0.0003290249,0.0001307485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009790401,0.0004032023,0.0003044304,0.00009915785,0.00006516698,0.0001394253,0.001373778,0.001538292,0.02935674,0.4066934,0.001776402,0.5581521],"study_design_scores_gemma":[0.0005534146,0.0001221152,0.0001540795,0.0002221773,0.000007568709,0.00004209354,0.0002385338,0.9605438,0.002536878,0.03417832,0.001107552,0.000293456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004508927,0.00005805335,0.9822165,0.0004351722,0.0004306553,0.00008171864,0.000008602288,0.0001163578,0.01214407],"genre_scores_gemma":[0.9714813,0.0000619985,0.02713986,0.0004532348,0.0001145315,0.000004762932,0.00001046247,0.0000113708,0.000722487],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9669724,"threshold_uncertainty_score":0.7025183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03677596805324048,"score_gpt":0.2750517574361826,"score_spread":0.2382757893829421,"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."}}