{"id":"W2131180221","doi":"10.1109/wcsp.2009.5371724","title":"Multiple description coding for binary sources","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Binary number; Coding (social sciences); Hamming distance; Hamming code; Algorithm; Computer science; Distortion (music); Binary code; Rate distortion; Generator matrix; Variable-length code; Theoretical computer science; Block code; Mathematics; Decoding methods; Arithmetic; Statistics; Telecommunications","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":[0.0001046507,0.00007317623,0.00007715831,0.00007104826,0.0001175852,0.00008615969,0.0005289306,0.00003043758,0.000005688998],"category_scores_gemma":[0.00005648668,0.0000611185,0.00003325513,0.0001160872,0.00001056122,0.0009639485,0.0001077396,0.00004161986,0.000007477515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001777127,"about_ca_system_score_gemma":0.000008067724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002960217,"about_ca_topic_score_gemma":8.044579e-7,"domain_scores_codex":[0.9993809,0.0000131821,0.0001191496,0.0002345051,0.00009519601,0.0001570938],"domain_scores_gemma":[0.9994325,0.00008050831,0.00004475762,0.0003578209,0.00004165913,0.00004272223],"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":[0.00002314979,0.000125603,0.0003592307,0.00001089517,0.00000370407,0.000003862269,0.0002175869,0.000152833,0.3089738,0.2182304,0.03919179,0.4327071],"study_design_scores_gemma":[0.000524666,0.0003970584,0.002659821,0.00005001499,0.000002625343,0.00000938821,0.00003363931,0.4846101,0.356386,0.09409142,0.06089631,0.0003389702],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003088588,0.0000444082,0.9945241,0.0005581069,0.00007944542,0.0001942166,0.000002244567,0.0009000182,0.0006088808],"genre_scores_gemma":[0.4466041,0.0000065958,0.5526827,0.0004300537,0.00002133575,0.00001322268,0.000003999622,0.000002292818,0.0002356607],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4844573,"threshold_uncertainty_score":0.249234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873175661273122,"score_gpt":0.2894912669480719,"score_spread":0.2507595103353407,"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."}}