{"id":"W1933015753","doi":"10.29173/eureka22829","title":"An Introduction to Golay Complementary Sequences","year":2014,"lang":"en","type":"article","venue":"Eureka","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Binary Golay code; Mathematics; Generalization; Complementary sequences; Context (archaeology); Sequence (biology); Ternary Golay code; Arithmetic; Combinatorics; Algorithm; Biology; Mathematical analysis; Genetics; Decoding methods","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001268434,0.00007225534,0.0000666604,0.00006023205,0.00003880114,0.00002274831,0.000111677,0.00001825888,0.0003718064],"category_scores_gemma":[0.00001294132,0.00007567242,0.00001447848,0.000113328,0.00001378072,0.00009711389,0.000009441858,0.00006914474,0.000283415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004183883,"about_ca_system_score_gemma":0.000002585421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001570323,"about_ca_topic_score_gemma":0.00001354011,"domain_scores_codex":[0.9995113,0.00002688502,0.00010197,0.0001342574,0.00009404856,0.0001315488],"domain_scores_gemma":[0.9996769,0.000007757564,0.000008868479,0.0002142513,0.00001618337,0.00007597487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008404107,0.00002992995,0.001635714,0.00003639477,0.0000373874,0.000001423622,0.001107958,0.1930992,0.3556462,0.003355214,0.4161205,0.02892176],"study_design_scores_gemma":[0.0001010109,0.0000792647,0.003246933,0.000003762132,0.000006003632,0.00001296398,0.0001149902,0.006837805,0.02462928,0.0004529617,0.9643469,0.000168076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642574,0.00004828998,0.01857451,0.004672415,0.004483251,0.0001792884,0.000009417809,0.0007221226,0.007053259],"genre_scores_gemma":[0.992004,0.000001936182,0.004873899,0.0001786293,0.002716142,0.00001161877,0.00001540102,0.00001811793,0.0001802898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5482265,"threshold_uncertainty_score":0.4071019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016275619372833,"score_gpt":0.2479402921187081,"score_spread":0.2377775359249798,"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."}}