{"id":"W4366206987","doi":"10.48550/arxiv.2304.07126","title":"Decoding twisted permutation codes","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Permutation (music); Permutation group; Cyclic permutation; Decoding methods; Class (philosophy); Bit-reversal permutation; Permutation matrix; Combinatorics; Partial permutation; Degree (music); Permutation graph; Mathematics; Discrete mathematics; Computer science; Symmetric group; Algorithm; Physics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000377452,0.0002403356,0.0002364046,0.0004460711,0.0002220266,0.0001957845,0.001571164,0.0002022895,0.00002047303],"category_scores_gemma":[0.00004694504,0.0002950795,0.0002504062,0.0009762469,0.00008749871,0.0003040227,0.001514442,0.0004019666,0.0001948286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009897855,"about_ca_system_score_gemma":0.00009299943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005105606,"about_ca_topic_score_gemma":0.00004016417,"domain_scores_codex":[0.9983591,0.0001707573,0.0001608732,0.0009288809,0.00008385097,0.0002965039],"domain_scores_gemma":[0.9984452,0.0002149469,0.0001775318,0.0009312463,0.0001146181,0.0001164714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002068367,0.00004084846,0.002536848,0.00006870928,0.00009411559,0.0002815419,0.0005652202,0.06486,0.00007651276,0.9296213,0.0002971354,0.001537051],"study_design_scores_gemma":[0.0002662128,0.00003674337,0.002680866,0.0001212255,0.00005641191,0.000003914277,0.000124851,0.4889739,0.0001413066,0.5068224,0.000318671,0.0004534358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2899104,0.00002234569,0.7065288,0.0000918462,0.0007570874,0.0001404825,0.000009627076,0.0008610843,0.001678342],"genre_scores_gemma":[0.996926,0.00007399063,0.001813934,0.00006072571,0.00005863478,0.000001105048,0.00002180634,0.00001787902,0.001025986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7070155,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279063638670525,"score_gpt":0.2035660701911209,"score_spread":0.07565970632406846,"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."}}