{"id":"W2141886216","doi":"10.1109/cwit.2007.375704","title":"Estimation of Bit and Frame Error Rates of Low-Density Parity-Check Codes on Binary Symmetric Channels","year":2007,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Low-density parity-check code; Decoding methods; Algorithm; Binary symmetric channel; Computer science; Parity bit; Binary number; Bit error rate; Error detection and correction; Crossover; Mathematics; Theoretical computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001639393,0.0006571606,0.0006398835,0.001366643,0.0003217619,0.0006844107,0.0007074259,0.0007008433,0.000461296],"category_scores_gemma":[0.01491018,0.0003186651,0.0002393795,0.000638833,0.0008853784,0.001065648,0.000602986,0.0006009401,0.0002396293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007558866,"about_ca_system_score_gemma":0.0007780982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002518052,"about_ca_topic_score_gemma":0.001533032,"domain_scores_codex":[0.998933,0.0004117338,0.00003874411,0.0001124735,0.0004359986,0.00006815444],"domain_scores_gemma":[0.9935743,0.004415001,0.0006432509,0.0005812157,0.0007119153,0.00007422828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003257899,0.00004902591,0.006173722,0.00009144112,0.0000422394,0.0001104201,0.0001322053,0.893379,0.02275791,0.01704061,0.0002659694,0.05963178],"study_design_scores_gemma":[0.00000632724,0.00001569616,0.0007884176,0.000006923916,0.000004165022,0.00003290799,0.000005858687,0.9843889,0.01196679,0.002674885,0.00009316211,0.00001586689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1708559,0.0001363198,0.827248,0.00004294243,0.00000822536,0.00004896553,0.0001225995,0.0003576218,0.001179453],"genre_scores_gemma":[0.7952476,0.0002256755,0.2035703,0.00001685649,0.0000104526,0.00009738976,0.0001872952,0.00005758394,0.0005869553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002518052,"threshold_uncertainty_score":0.008670032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02832941163284415,"score_gpt":0.3095144490193444,"score_spread":0.2811850373865003,"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."}}