{"id":"W2139752178","doi":"10.1109/tce.2005.1510500","title":"An integrated error control and DC-free code based on multimode coding","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Encoder; Decoding methods; Computer science; Coding (social sciences); Error detection and correction; Algorithm; Concatenated error correction code; Variable-length code; Electronic engineering; Block code; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002843073,0.0003391697,0.0002745963,0.0005595544,0.0002907828,0.000461818,0.0005947089,0.0006128813,0.0008900774],"category_scores_gemma":[0.001192461,0.0001465827,0.0001707241,0.0005731852,0.0004934248,0.000635577,0.0005932311,0.0005063325,0.0002817226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004430683,"about_ca_system_score_gemma":0.0005179341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077154,"about_ca_topic_score_gemma":0.001855758,"domain_scores_codex":[0.9995607,0.00006453721,0.00002127477,0.00007462212,0.0002424827,0.00003636216],"domain_scores_gemma":[0.9991793,0.0002257798,0.00009843555,0.0001864803,0.0002637296,0.00004632402],"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":[0.0008230479,0.0002074525,0.001976241,0.0001884873,0.00006992611,0.0005154175,0.0002813399,0.06892426,0.4946051,0.126002,0.002172899,0.3042338],"study_design_scores_gemma":[0.00007973041,0.0005224185,0.0009864881,0.00004179219,0.00004882257,0.0009233877,0.00002479957,0.6239491,0.3526221,0.007847459,0.01287432,0.0000797676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1866048,0.0006411974,0.8032006,0.0004058534,0.0002209548,0.0001202834,0.0001364412,0.0009728086,0.007696905],"genre_scores_gemma":[0.6276487,0.0001890214,0.3647941,0.0001768619,0.00007898452,0.00009964564,0.0000991217,0.00004654947,0.006866893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001077154,"threshold_uncertainty_score":0.003214717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123473549348886,"score_gpt":0.2540100132054168,"score_spread":0.2416626582705282,"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."}}