{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001990485,0.0002415106,0.0002091014,0.0001932559,0.0003743192,0.000159912,0.0006566068,0.0001097679,0.00003246804],"category_scores_gemma":[0.000006090493,0.0002376157,0.00008074038,0.0003484291,0.00007941472,0.0003160954,0.000001865984,0.0004601788,0.00006057814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001559668,"about_ca_system_score_gemma":0.0002225205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003981353,"about_ca_topic_score_gemma":0.0007867491,"domain_scores_codex":[0.9984251,0.0001010119,0.0002592877,0.0005398883,0.0002386911,0.0004360194],"domain_scores_gemma":[0.9984174,0.0002192052,0.00006995634,0.001037727,0.00008035163,0.0001753804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000254005,0.002516113,0.00004581764,0.00002861596,0.0002032963,0.00001142894,0.0005154053,0.1959291,0.1034119,0.01545387,0.0008526272,0.6807778],"study_design_scores_gemma":[0.001733488,0.0002124864,0.00005258488,0.00001538458,0.00004308155,0.00001170457,0.000008811295,0.9505627,0.03382702,0.00009655499,0.01317631,0.0002598896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0136886,0.0001491663,0.9827571,0.00230952,0.00008955114,0.0003577454,0.00008901877,0.0004448434,0.000114451],"genre_scores_gemma":[0.9791379,0.00005869961,0.01948525,0.001069806,0.00001557987,0.0001076373,0.000008466035,0.00002471413,0.00009195091],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9654493,"threshold_uncertainty_score":0.9689689,"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."}}