{"id":"W2066218472","doi":"10.1023/b:desi.0000029212.52214.71","title":"Constructions for Permutation Codes in Powerline Communications","year":2004,"lang":"en","type":"article","venue":"Designs Codes and Cryptography","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":177,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Army Research Office; Deutscher Akademischer Austauschdienst","keywords":"Hamming distance; Permutation (music); Partial permutation; Mathematics; Hamming weight; Hamming code; Discrete mathematics; Combinatorics; Coding theory; Coding (social sciences); Cyclic permutation; Set (abstract data type); Automorphism; Permutation graph; Hamming graph; Block code; Computer science; Algorithm; Symmetric group; Decoding methods; Statistics; Physics","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":[0.0001625452,0.0001143252,0.0001508229,0.0002406167,0.0001483092,0.00004202822,0.000113841,0.0000656997,0.000004864921],"category_scores_gemma":[0.000008007473,0.0001181867,0.00007288098,0.0003476177,0.0001529178,0.0001021281,0.000009542111,0.00008652829,0.000001559895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001305834,"about_ca_system_score_gemma":0.000009127113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002238932,"about_ca_topic_score_gemma":0.0001519005,"domain_scores_codex":[0.9994376,0.00003122337,0.0002070501,0.0001149049,0.0000491584,0.0001600418],"domain_scores_gemma":[0.999565,0.0000974201,0.00002426293,0.000226561,0.00003673497,0.00005000028],"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":[0.00002601522,0.00008370254,0.004092077,0.0001206094,0.00009324885,0.000001560312,0.001714282,0.007885891,0.01299561,0.9678135,0.00009100553,0.005082492],"study_design_scores_gemma":[0.007300362,0.0005379173,0.02011678,0.0005491134,0.0002183572,0.0001713017,0.01304534,0.02964278,0.008636417,0.8955593,0.02257717,0.001645201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5533248,0.002743595,0.4398288,0.0001622524,0.0002062707,0.0006558743,0.0001266305,0.0002889772,0.002662799],"genre_scores_gemma":[0.9799125,0.0003879725,0.01943584,0.00002549411,0.00001741118,0.0001526149,0.00004971287,0.00001634704,0.000002167698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4265876,"threshold_uncertainty_score":0.4819514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147336466098679,"score_gpt":0.2456515097056048,"score_spread":0.224178145044618,"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."}}