{"id":"W2133073742","doi":"10.1109/ccece.2002.1015280","title":"High-speed forward error correction IP blocks for system-on-chip design","year":2003,"lang":"en","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Encoder; Convolutional code; Field-programmable gate array; Error detection and correction; Computer hardware; Transceiver; System on a chip; Forward error correction; Chip; Decoding methods; CMOS; Code (set theory); VHDL; Embedded system; Hardware description language; Wireless; Electronic engineering; Algorithm; Telecommunications; 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":[0.0007960677,0.000153518,0.000168461,0.0001583178,0.0002556687,0.0001245097,0.0004003737,0.00007219983,0.00002832401],"category_scores_gemma":[0.00007804387,0.0001287728,0.0001414901,0.0003987623,0.00002330539,0.0001653257,0.00002663779,0.00008197928,0.00004768163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003850263,"about_ca_system_score_gemma":0.0000349537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007789836,"about_ca_topic_score_gemma":0.000002395424,"domain_scores_codex":[0.9988204,0.000159777,0.0001915282,0.0003765799,0.0001642355,0.0002875027],"domain_scores_gemma":[0.9988876,0.0004136177,0.00007065458,0.0004618077,0.00007578707,0.00009051569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006180401,0.00006353826,0.0000331798,0.00001571394,0.00002663527,0.000002092108,0.0001431312,0.001415517,0.000324622,0.9810832,0.01028832,0.006542235],"study_design_scores_gemma":[0.005500752,0.004947948,0.0004894205,0.0003478606,0.0001473132,0.0002359481,0.001028656,0.4535668,0.2510366,0.2428313,0.03774152,0.002125865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005015408,0.00001610466,0.982347,0.0001218281,0.002883775,0.0004404394,0.000001005771,0.0004943344,0.008680069],"genre_scores_gemma":[0.9292957,7.493898e-7,0.06867192,0.0002594386,0.00006656978,0.0000499159,8.195156e-7,0.00001096532,0.001643914],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9242803,"threshold_uncertainty_score":0.5251204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02764681756317849,"score_gpt":0.2399748808083369,"score_spread":0.2123280632451584,"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."}}