{"id":"W2117382357","doi":"10.1109/bsc.2006.1644615","title":"Performance of a 4-State Turbo Code with Data Puncturing and a BCH Outer Code","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Puncturing; Low-density parity-check code; Computer science; Turbo code; Concatenated error correction code; BCH code; Serial concatenated convolutional codes; Turbo equalizer; Algorithm; Constant-weight code; Polynomial code; Code (set theory); Decoding methods; Block code; Error floor; Telecommunications; 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":[0.00005923572,0.0000951664,0.0001179849,0.00004293185,0.00002204725,0.00001109957,0.0002821421,0.00002176354,0.000007039839],"category_scores_gemma":[0.000002184441,0.00007376055,0.000005692575,0.0000684045,0.00004625571,0.0002761587,0.000144137,0.00008671018,0.000001401828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001293907,"about_ca_system_score_gemma":0.000004402107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003000973,"about_ca_topic_score_gemma":0.0001833002,"domain_scores_codex":[0.9995489,0.000005540048,0.0001498857,0.0001119458,0.0000745593,0.000109161],"domain_scores_gemma":[0.9991716,0.00002518058,0.00002848965,0.00073317,0.00002346538,0.00001810728],"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":[0.0002810432,0.0002546255,0.1298922,0.002435814,0.0002919536,0.00002526395,0.001404433,0.4338336,0.1242441,0.002627178,0.008866525,0.2958433],"study_design_scores_gemma":[0.0004645674,0.00005971896,0.01164796,0.0001481489,0.00001396288,0.00002408719,0.00002791645,0.5777704,0.4009733,0.0002313901,0.008288818,0.0003497106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8897769,0.000237679,0.1038563,0.00003683118,0.000009447052,0.0001372046,0.00004057894,0.0005407304,0.00536421],"genre_scores_gemma":[0.9256247,0.0002606885,0.07383686,0.00001104791,0.000006410724,0.00001022457,0.00002697843,0.00002177744,0.0002013522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2954936,"threshold_uncertainty_score":0.3007868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553606158503783,"score_gpt":0.2277453994260839,"score_spread":0.212209337841046,"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."}}