{"id":"W2154425885","doi":"10.1109/icct.2000.889180","title":"Bandwidth efficient RS coding in asymmetric digital subscriber lines","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Viterbi decoder; Asymmetric digital subscriber line; Coding gain; Additive white Gaussian noise; Trellis modulation; Decoding methods; Digital subscriber line; Coding (social sciences); Convolutional code; Electronic engineering; Algorithm; Computer network; Telecommunications; White noise; Mathematics; Engineering; Fading","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":[0.0005329489,0.0002650976,0.0002688002,0.000529455,0.0003137044,0.0004878994,0.0004821755,0.0005074861,0.001096277],"category_scores_gemma":[0.001472127,0.000161911,0.0001602708,0.0005608516,0.0006514172,0.0005605216,0.0004391303,0.0003123257,0.0004342714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005749075,"about_ca_system_score_gemma":0.0004066711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591721,"about_ca_topic_score_gemma":0.001709354,"domain_scores_codex":[0.9994022,0.0002081225,0.00001750455,0.00003310426,0.0002704246,0.00006870231],"domain_scores_gemma":[0.9990736,0.0004502307,0.0001444737,0.0001169614,0.0001901719,0.00002447854],"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":[0.000774694,0.000109544,0.002119432,0.0002599031,0.00004255221,0.001033711,0.0003701544,0.4127128,0.2163258,0.186757,0.003457468,0.176037],"study_design_scores_gemma":[0.00004935007,0.0001297643,0.0005193187,0.00002855773,0.00001997312,0.0004181335,0.00004831775,0.9262896,0.04953534,0.01920537,0.003720372,0.00003591509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4858245,0.001796781,0.4838246,0.0007604799,0.00008971353,0.00007341853,0.0001808998,0.0009763479,0.02647329],"genre_scores_gemma":[0.9585509,0.0003601974,0.03831835,0.00004880126,0.00004280331,0.00002554862,0.00005801403,0.0000194806,0.002575812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001591721,"threshold_uncertainty_score":0.004171252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733907419346732,"score_gpt":0.2207640931175645,"score_spread":0.2034250189240971,"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."}}