{"id":"W7034162246","doi":"","title":"Stochastic decoding of LDPC codes over GF(Â«qÂ»)","year":2009,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decoding methods; Low-density parity-check code; Soft-decision decoder; Throughput; Binary number; Code (set theory); Computation; Binary code","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000456706,0.0002892745,0.0002381156,0.0003863196,0.0003312865,0.0005126262,0.0002759597,0.0003019848,0.001834019],"category_scores_gemma":[0.00265527,0.0001193377,0.0001685087,0.0006228791,0.0004904683,0.0003440309,0.0003110773,0.0003001693,0.0005318218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008707511,"about_ca_system_score_gemma":0.001956502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005955663,"about_ca_topic_score_gemma":0.01057943,"domain_scores_codex":[0.9995019,0.0001500093,0.00002373794,0.00004798992,0.0002338179,0.00004261727],"domain_scores_gemma":[0.9992639,0.0003699472,0.00008410007,0.00008650316,0.0001798407,0.00001557375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002662933,0.00007509905,0.002176323,0.0002869468,0.00004722275,0.0002776816,0.0002361379,0.4113881,0.06887235,0.2297767,0.003599058,0.282998],"study_design_scores_gemma":[0.00004343088,0.00006661602,0.0008685435,0.00003362543,0.00001037169,0.0001694877,0.00002306473,0.9049064,0.0478086,0.04046163,0.005587365,0.00002081286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05985656,0.0001722181,0.9272318,0.0002506913,0.00004233956,0.00009648435,0.0002330916,0.0006770842,0.01143974],"genre_scores_gemma":[0.6501424,0.0003074631,0.3392692,0.0001149522,0.00002532419,0.0001050355,0.0003121622,0.00006893471,0.009654655],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005955663,"threshold_uncertainty_score":0.01184201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006765787897900007,"score_gpt":0.1540492777603863,"score_spread":0.1472834898624863,"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."}}