{"id":"W2111582940","doi":"10.1109/isit.2009.5205968","title":"New sequence families with zero or low correlation zone via interleaving techniques","year":2009,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"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":"Interleaving; Hadamard transform; Sequence (biology); Code division multiple access; Zero (linguistics); Construct (python library); Computer science; Ideal (ethics); Algorithm; Mathematics; Code (set theory); Theoretical computer science; Discrete mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006855231,0.0004451722,0.0003581152,0.001197661,0.0008942509,0.0005720003,0.000470542,0.0004270907,0.002148575],"category_scores_gemma":[0.002146076,0.0003329231,0.0003909645,0.0006108219,0.0009737205,0.001305342,0.0008592608,0.0007400044,0.0006217755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004330829,"about_ca_system_score_gemma":0.0004941466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001802764,"about_ca_topic_score_gemma":0.00027089,"domain_scores_codex":[0.9994767,0.0001731479,0.00003449773,0.00007772552,0.0001651505,0.00007274377],"domain_scores_gemma":[0.9985519,0.0005190373,0.0002020909,0.0002991206,0.0003074093,0.0001204341],"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":[0.0002083897,0.00008562234,0.001406815,0.0001755024,0.00002087022,0.0007165141,0.0004641194,0.01872047,0.07080373,0.7989334,0.001833563,0.1066309],"study_design_scores_gemma":[0.00008692431,0.0007402255,0.001535847,0.0001522563,0.00008602179,0.00380414,0.0002920131,0.1831893,0.1989169,0.5415713,0.06947324,0.000151859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1735967,0.0005531147,0.8103203,0.0002006679,0.00008456071,0.0001096588,0.0001457167,0.0004292126,0.01456005],"genre_scores_gemma":[0.6450415,0.000725636,0.3431081,0.0001406344,0.00006882046,0.000223637,0.0003627965,0.0001642052,0.01016458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002148575,"threshold_uncertainty_score":0.007187665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676121163101199,"score_gpt":0.2965720194672596,"score_spread":0.2698108078362477,"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."}}