{"id":"W2096848776","doi":"10.1109/ccece.2009.5090295","title":"Design and FPGA implementation of iterative decoders for codes on graphs","year":2009,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Field-programmable gate array; Computer science; Speedup; Parallel computing; Decoding methods; Reconfigurable computing; Gate array; Software; Computer hardware; Embedded system; Algorithm; Programming language","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":[0.0002551772,0.00006843812,0.00008596,0.0001002034,0.00004990545,0.00003853482,0.0001571446,0.00002029555,0.000002493391],"category_scores_gemma":[0.00001625187,0.00005913981,0.00002260489,0.0001185208,0.00001368534,0.0001979939,0.00001662339,0.00002650213,2.913397e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001247189,"about_ca_system_score_gemma":0.00001736351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001758413,"about_ca_topic_score_gemma":0.00001686303,"domain_scores_codex":[0.9994738,0.00003855563,0.0001284571,0.0001763361,0.00008085655,0.0001019561],"domain_scores_gemma":[0.9994965,0.0002077251,0.00006559414,0.0001401716,0.00006799139,0.00002205469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000482979,0.00008318703,0.0005492386,0.00001503029,0.00002158153,0.000001155319,0.006376119,0.000138752,0.02091214,0.2407435,0.005095756,0.7260152],"study_design_scores_gemma":[0.0003339898,0.001703694,0.002036231,0.0000185942,0.000004762391,0.00000274933,0.0002012157,0.02392939,0.8690213,0.1025835,0.00003676756,0.0001278625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02234737,0.00001085618,0.9763517,0.0004142846,0.00003069797,0.0003760086,7.422819e-7,0.0001591918,0.0003091524],"genre_scores_gemma":[0.5916318,0.000003427165,0.4080662,0.000270157,0.000002039309,0.00001212816,5.242433e-7,0.000001691356,0.00001205634],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8481091,"threshold_uncertainty_score":0.2411651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03425657745476295,"score_gpt":0.3431259678160269,"score_spread":0.3088693903612639,"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."}}