{"id":"W2112729878","doi":"10.1109/isit.2010.5513718","title":"A new class of ternary and quaternary sequences with two-level autocorrelation","year":2010,"lang":"en","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Hadamard transform; Autocorrelation; Golomb coding; Decimation; Complementary sequences; Pseudorandom number generator; Mathematics; Combinatorics; Algorithm; Computer science; Statistics; Artificial intelligence; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001441168,0.0000708241,0.00007614129,0.00007530268,0.00004205856,0.00004830553,0.0002943671,0.00002865912,0.0000334019],"category_scores_gemma":[0.000004351277,0.00004962757,0.00002122609,0.0001725483,0.00006315206,0.0003750601,0.00007929464,0.00009944119,0.000003859693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000173719,"about_ca_system_score_gemma":0.00004373132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002645465,"about_ca_topic_score_gemma":0.0001397342,"domain_scores_codex":[0.9994913,0.00002094953,0.000100193,0.0001758324,0.0001195418,0.00009217235],"domain_scores_gemma":[0.9995626,0.00005929609,0.00005765634,0.0002348691,0.00002386437,0.00006169143],"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":[0.00003211619,0.00002478718,0.09730983,0.000008956628,0.00001842651,0.000009458329,0.000734901,0.00002885889,0.01354499,0.7974225,0.0001278884,0.09073731],"study_design_scores_gemma":[0.002306635,0.001277201,0.3003268,0.0001368326,0.00003386785,0.0004398181,0.0001397147,0.2078387,0.0234925,0.4610046,0.00223256,0.0007708012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4327275,0.000009895979,0.5622816,0.00039702,0.0001209179,0.00006606603,4.211593e-7,0.00006602381,0.004330521],"genre_scores_gemma":[0.83494,0.000001226151,0.1646036,0.00006369066,0.00002580113,0.000002371981,2.719656e-7,0.000002429118,0.0003607009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4022124,"threshold_uncertainty_score":0.2023754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480232173843608,"score_gpt":0.2354476208139037,"score_spread":0.2206452990754676,"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."}}