{"id":"W2068985238","doi":"10.1109/bmsb.2013.6621773","title":"Quarter-rate LDPC code and its truncated performance for the cloud transmission","year":2013,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Low-density parity-check code; Code word; Computer science; Additive white Gaussian noise; Code rate; Concatenated error correction code; Code (set theory); Algorithm; Decoding methods; Channel (broadcasting); Electronic engineering; Real-time computing; Telecommunications; Block code; Engineering","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":[0.0003905887,0.0001172535,0.0001008643,0.00003929204,0.0002254477,0.0001489004,0.0005794952,0.00005109814,0.00002255595],"category_scores_gemma":[0.0000218683,0.00006993108,0.00003383778,0.0001659487,0.0000213047,0.0004707703,0.00006271616,0.0001013219,0.00002906453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001251818,"about_ca_system_score_gemma":0.00002179454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004431267,"about_ca_topic_score_gemma":0.000009072357,"domain_scores_codex":[0.9992111,0.00003834046,0.0001618222,0.0002614722,0.0001009232,0.0002263879],"domain_scores_gemma":[0.9991939,0.0002657148,0.00004993528,0.0003189841,0.0001109479,0.00006050187],"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":[0.00004059607,0.0001091191,0.0007519411,0.0001688255,0.00004145345,0.000001325785,0.006730834,0.0000794966,0.09243206,0.01978482,0.04878858,0.831071],"study_design_scores_gemma":[0.0001948226,0.000204965,0.002687385,0.00002620078,0.000004944482,0.000009904679,0.00003889191,0.9207193,0.06743258,0.00123749,0.007294122,0.0001494514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2083803,0.0001435716,0.7839485,0.005072972,0.0002312161,0.0006895463,5.997277e-7,0.0006804889,0.000852707],"genre_scores_gemma":[0.9731895,0.00006293065,0.0249912,0.0004698212,0.00003768543,0.0001291742,5.494071e-7,0.00000930736,0.001109821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9206398,"threshold_uncertainty_score":0.2851707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030387314826338,"score_gpt":0.2482350725345354,"score_spread":0.227931199386272,"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."}}