{"id":"W2101136017","doi":"10.1109/tit.2003.815807","title":"Simultaneous zero-tailing of parallel concatenated codes","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer","keywords":"Convolutional code; Encoder; Zero (linguistics); Computer science; Encoding (memory); Trellis (graph); Algorithm; Sequence (biology); Code (set theory); Turbo code; Serial concatenated convolutional codes; Concatenated error correction code; Theoretical computer science; Decoding methods; Block code; Arithmetic; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001229605,0.0006160641,0.000527625,0.0006616618,0.0006894942,0.0007490788,0.0008297663,0.0005206259,0.001106844],"category_scores_gemma":[0.005825812,0.0003649018,0.0005306395,0.0008896981,0.001590694,0.001715531,0.001710307,0.0007609533,0.0004169509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005876735,"about_ca_system_score_gemma":0.0009252513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008861468,"about_ca_topic_score_gemma":0.001205122,"domain_scores_codex":[0.9986749,0.0003167151,0.0001322683,0.0002165105,0.0003902579,0.0002694021],"domain_scores_gemma":[0.9948475,0.002076814,0.0006064367,0.001334446,0.0009450648,0.0001895849],"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":[0.002396048,0.0001899078,0.006786948,0.0004326235,0.0001419408,0.001625314,0.0009304252,0.3538662,0.1480287,0.1334477,0.00210743,0.3500468],"study_design_scores_gemma":[0.0000783085,0.000670815,0.0008666602,0.00006476772,0.00007791652,0.0009781952,0.00009978636,0.7029666,0.2257145,0.06486806,0.003530686,0.0000836041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2678785,0.0004927882,0.7250578,0.0001184225,0.00007074975,0.00006726977,0.00007850239,0.00100166,0.005234256],"genre_scores_gemma":[0.9052041,0.0001610584,0.09095725,0.00007141745,0.00002757632,0.00003526964,0.00009981202,0.0001044259,0.003338986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001229605,"threshold_uncertainty_score":0.006502807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007713919436351976,"score_gpt":0.2248636076962633,"score_spread":0.2171496882599114,"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."}}