{"id":"W2011377472","doi":"10.1109/tit.2012.2236604","title":"Interactive Encoding and Decoding Based on Binary LDPC Codes With Syndrome Accumulation","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Decoding methods; Encoder; Computer science; Binary number; Low-density parity-check code; Algorithm; Theoretical computer science; Discrete mathematics; Mathematics; 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":[0.0006736841,0.0001688952,0.0001281202,0.0005480564,0.0003104453,0.0001462677,0.0002075948,0.00007169754,0.00002322769],"category_scores_gemma":[0.00002180004,0.0001481417,0.00004112129,0.0003383999,0.00004336923,0.004866237,0.0000035813,0.000271915,0.00004710295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420769,"about_ca_system_score_gemma":0.00003267742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007726798,"about_ca_topic_score_gemma":0.000002043121,"domain_scores_codex":[0.9990198,0.0001308778,0.0002450955,0.0001373645,0.0002433427,0.0002235464],"domain_scores_gemma":[0.9987201,0.0006419735,0.0001638262,0.0003094604,0.00007848364,0.00008613495],"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":[0.001691896,0.000922279,0.001152207,0.0003094919,0.0002137944,0.00001456644,0.04056042,0.2460835,0.002394945,0.07263098,0.0003090494,0.6337169],"study_design_scores_gemma":[0.001288938,0.001781715,0.00309881,0.0006581561,0.00006037044,0.0002907238,0.001358231,0.8956798,0.09241299,0.001981986,0.0004647588,0.0009234801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06692533,0.000003874558,0.9295741,0.00009859677,0.0003709981,0.0002334528,0.00000533712,0.0005446426,0.002243656],"genre_scores_gemma":[0.9751244,0.000003681928,0.0242828,0.000486968,0.00000998009,0.00005848482,0.000002881294,0.000009615189,0.00002118958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9081991,"threshold_uncertainty_score":0.6041043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969838685627357,"score_gpt":0.2729342356956928,"score_spread":0.2532358488394192,"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."}}