{"id":"W2053024959","doi":"10.1109/tit.2004.842778","title":"Polyphase Sequences With Low Autocorrelation","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Polyphase system; Maxima and minima; Autocorrelation; Mathematics; Sequence (biology); Autocorrelation matrix; Complementary sequences; Base (topology); Algorithm; Energy (signal processing); Combinatorics; Discrete mathematics; Mathematical analysis; 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":[0.0003999298,0.0001289597,0.00008317884,0.0003423093,0.0003146834,0.0001676315,0.0003267912,0.00005740798,0.0001482928],"category_scores_gemma":[0.000003052055,0.000105892,0.00006988101,0.0005050809,0.00007465006,0.004082225,0.00000117273,0.0001756257,0.0004159738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004350098,"about_ca_system_score_gemma":0.00005577301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002466767,"about_ca_topic_score_gemma":0.000003495021,"domain_scores_codex":[0.9991514,0.00008346261,0.0002375647,0.0001215717,0.0002363875,0.0001696],"domain_scores_gemma":[0.9992853,0.0001288823,0.0001045048,0.0003396885,0.000069313,0.00007226505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001360252,0.00008108745,0.000002632841,0.0000100531,0.00002637358,6.285648e-7,0.002794329,0.07223192,0.00006699227,0.361177,0.0000539152,0.563419],"study_design_scores_gemma":[0.006596832,0.002527437,0.0005438832,0.0004574838,0.0001463133,0.0003535077,0.00198616,0.60851,0.166492,0.1699548,0.03993253,0.002498942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006562,0.000006463986,0.9858391,0.0003596611,0.0002576761,0.0001947303,0.000006501891,0.0004131862,0.006360671],"genre_scores_gemma":[0.988748,0.000004825304,0.01008142,0.0009153798,0.00002445273,0.00005596689,0.000002435793,0.000004396455,0.0001631851],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.982186,"threshold_uncertainty_score":0.534664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005474216477185372,"score_gpt":0.2073840663128367,"score_spread":0.2019098498356513,"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."}}