{"id":"W4391759548","doi":"10.1109/lcomm.2024.3365091","title":"Shortened Polar Codes Under Automorphism Ensemble Decoding","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decoding methods; Polar; List decoding; Computer science; Block code; Algorithm; Automorphism; Block (permutation group theory); Mathematics; Concatenated error correction code; Discrete mathematics; Combinatorics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005463687,0.0001798812,0.0001652465,0.0003244065,0.0003850046,0.0004822501,0.003437873,0.00007241328,0.000006326067],"category_scores_gemma":[0.00003574637,0.0001899585,0.0001119375,0.0007476323,0.0001438743,0.000633208,0.0005943754,0.0004623302,0.0001437948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001990041,"about_ca_system_score_gemma":0.00008372394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001532822,"about_ca_topic_score_gemma":0.000135773,"domain_scores_codex":[0.9985682,0.0002131773,0.000297681,0.0003837758,0.0002269428,0.0003102116],"domain_scores_gemma":[0.995995,0.0006058504,0.00005949343,0.003201572,0.00006227893,0.00007583341],"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":[0.000002772045,0.000134476,0.0005615018,0.00005500004,0.0001758177,0.00005929872,0.003381504,0.0005040138,0.6038352,0.2213513,0.1012483,0.06869078],"study_design_scores_gemma":[0.0002740452,0.00008836876,0.001235516,0.0007188576,0.00009840075,0.0003847666,0.0001632385,0.8047501,0.07636124,0.02394124,0.09049987,0.001484294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01795171,0.001198706,0.9266385,0.04785418,0.0007705395,0.0001852655,0.000003836112,0.003345005,0.002052186],"genre_scores_gemma":[0.7667366,0.0001210428,0.2291972,0.003721652,0.00003986792,0.00005298686,0.000006947447,0.00002529531,0.00009844134],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8042461,"threshold_uncertainty_score":0.7746285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04822192735172226,"score_gpt":0.3118639032194955,"score_spread":0.2636419758677733,"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."}}