{"id":"W4410738567","doi":"10.1109/tcomm.2025.3573444","title":"Ordered Reliability Direct Error Pattern Testing Decoding Algorithm","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); Dalhousie University","funders":"","keywords":"Decoding methods; Algorithm; Computer science; Reliability (semiconductor); Sequential decoding; List decoding; Error detection and correction; Reliability engineering; Concatenated error correction code; Engineering; Block code","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":[0.0006547799,0.0005171638,0.0005681011,0.0006925031,0.0002808791,0.0007927098,0.00112813,0.0005873467,0.002772785],"category_scores_gemma":[0.003159836,0.0001892641,0.0002762738,0.0005502664,0.0005090813,0.0006634633,0.000903247,0.00066683,0.001389524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005004079,"about_ca_system_score_gemma":0.00176756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344906,"about_ca_topic_score_gemma":0.001368618,"domain_scores_codex":[0.9989794,0.0002158742,0.00007780636,0.0001475776,0.0004634867,0.0001158571],"domain_scores_gemma":[0.9985013,0.0005144857,0.0001360136,0.0003163947,0.000472379,0.00005939474],"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":[0.0005783454,0.0001106205,0.002750515,0.0002214936,0.0000435716,0.0002869407,0.0001188785,0.1270996,0.03144,0.05681822,0.005358591,0.7751731],"study_design_scores_gemma":[0.00009826489,0.0002738986,0.0005896495,0.00003930313,0.00002315651,0.0006579657,0.00002571556,0.9212701,0.04214617,0.02666015,0.008177543,0.00003817565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02041005,0.0002425932,0.9726636,0.0001573679,0.00006728556,0.0001142833,0.0001869152,0.001348496,0.004809359],"genre_scores_gemma":[0.3994901,0.0002281192,0.5929411,0.0002419429,0.00004675596,0.0002156011,0.0007259342,0.0001215476,0.005988877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002772785,"threshold_uncertainty_score":0.009275854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729509991514346,"score_gpt":0.2736570403137389,"score_spread":0.2463619403985954,"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."}}