{"id":"W2136017419","doi":"10.1109/tit.2008.928999","title":"New Binary Sequences With Optimal Autocorrelation Magnitude","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Lakehead University","funders":"","keywords":"Autocorrelation; Binary number; Combinatorics; Mathematics; Discrete mathematics; Algorithm; Statistics; Arithmetic","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":[0.0002737442,0.0001496274,0.0001021004,0.0003743651,0.0004859533,0.00009607986,0.0003812985,0.00006730023,0.0001770482],"category_scores_gemma":[0.000003115186,0.0001258311,0.00008129076,0.0006272313,0.0000920128,0.003582327,0.000002148243,0.0002115501,0.0003133822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003430778,"about_ca_system_score_gemma":0.0001476985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008583032,"about_ca_topic_score_gemma":0.000001235203,"domain_scores_codex":[0.9990575,0.00008842738,0.0002453411,0.0001414494,0.000284515,0.0001827524],"domain_scores_gemma":[0.9992446,0.0001307746,0.0001063847,0.0003400259,0.00007595957,0.0001022373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005617702,0.0001307446,0.00003415482,0.00002444478,0.00009348946,0.00001401594,0.01318054,0.3098798,0.000146554,0.3621122,0.0006975987,0.3131247],"study_design_scores_gemma":[0.01630786,0.01309298,0.01174991,0.0008786187,0.0004119025,0.004108866,0.005550696,0.5402682,0.1043701,0.2473757,0.04905921,0.006825924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01382987,0.000009085492,0.9803299,0.0001565642,0.0003518215,0.0002095674,0.000004033618,0.0004467668,0.004662373],"genre_scores_gemma":[0.9518054,0.0000172691,0.04725713,0.0003927887,0.00002213173,0.0000417655,0.000003417305,0.000006020753,0.000454135],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9379755,"threshold_uncertainty_score":0.5131242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057295538588483,"score_gpt":0.2055857470907388,"score_spread":0.195012791704854,"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."}}