{"id":"W2047782372","doi":"10.1007/s10623-013-9862-z","title":"Compression of periodic complementary sequences and applications","year":2013,"lang":"en","type":"article","venue":"Designs Codes and Cryptography","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Lambda; Autocorrelation; Sequence (biology); Mathematics; Compression (physics); Zero (linguistics); Combinatorics; Complementary sequences; Function (biology); Data compression; Discrete mathematics; Algorithm; Physics; Statistics; Quantum mechanics","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":[0.0001714934,0.0001367612,0.0001827074,0.0002219972,0.0002745464,0.000153165,0.0003447997,0.00003808047,0.00005779343],"category_scores_gemma":[0.000001917235,0.0001151946,0.00006960146,0.0004706958,0.0003565883,0.0003177392,0.0001531605,0.00007234304,0.000002463295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001990291,"about_ca_system_score_gemma":0.00001012488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008520675,"about_ca_topic_score_gemma":0.000003536189,"domain_scores_codex":[0.9990792,0.00008440187,0.0002107109,0.0003007006,0.0001412006,0.0001838038],"domain_scores_gemma":[0.9993241,0.000112435,0.0000918009,0.0002966436,0.00006404681,0.0001109296],"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":[0.000009087727,0.0001033035,0.03183376,0.0000832663,0.00006298897,0.000001099527,0.0008515932,0.000005767351,0.01763921,0.828146,0.0005211956,0.1207427],"study_design_scores_gemma":[0.001209388,0.0008491831,0.07963619,0.0001775066,0.00007746648,0.00005714026,0.001637756,0.008122165,0.006014009,0.8833967,0.01792773,0.0008946985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2038655,0.001993569,0.7921452,0.0002485813,0.00003741042,0.0004804617,0.00001127669,0.0001083453,0.001109689],"genre_scores_gemma":[0.9543639,0.0002986823,0.04503243,0.0001637568,0.00001770281,0.0001107781,0.00000532847,0.000004905283,0.000002539895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7504984,"threshold_uncertainty_score":0.46975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061128218749861,"score_gpt":0.2422285624615389,"score_spread":0.2216172802740403,"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."}}