{"id":"W1971729087","doi":"10.1109/bmsb.2011.5954932","title":"Selective bit mapping for Chinese DTMB LDPC coded QAM modulation scheme","year":2011,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Low-density parity-check code; Computer science; Decoding methods; Quadrature amplitude modulation; QAM; Algorithm; Code word; Encoder; Orthogonal frequency-division multiplexing; Binary number; Modulation (music); Bit error rate; Theoretical computer science; Mathematics; Arithmetic; Telecommunications; Channel (broadcasting)","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":[0.0001208047,0.0002579287,0.0001521051,0.0002010712,0.0001864014,0.0001713824,0.0002312038,0.0002123287,0.0007537958],"category_scores_gemma":[0.0005071781,0.00007308438,0.0001164265,0.0002692257,0.0002662369,0.0003218204,0.0002216576,0.0002040177,0.0001773329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003427535,"about_ca_system_score_gemma":0.0004135581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204357,"about_ca_topic_score_gemma":0.001576919,"domain_scores_codex":[0.9998933,0.00002428221,0.000004073955,0.00001320358,0.00005261825,0.00001262236],"domain_scores_gemma":[0.9998876,0.00003708871,0.00001894409,0.00002079195,0.00002952317,0.000005988081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000270615,0.00004554567,0.00288711,0.0002751986,0.0000353751,0.0003731823,0.0003622185,0.2643986,0.4458822,0.09667943,0.001151568,0.187639],"study_design_scores_gemma":[0.00002203273,0.0000942875,0.0008824263,0.0000156019,0.00001720178,0.000338518,0.00001932005,0.9161469,0.07334987,0.005271025,0.003825932,0.0000167104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2531702,0.0007279887,0.7385554,0.0002375441,0.00004173199,0.00005579902,0.00004985205,0.0003217655,0.006839681],"genre_scores_gemma":[0.8736748,0.0004424667,0.1238214,0.00005734902,0.00001414504,0.00003592495,0.00004142024,0.00002172679,0.001890747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001204357,"threshold_uncertainty_score":0.002521694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05109676107787545,"score_gpt":0.278959128926977,"score_spread":0.2278623678491015,"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."}}