{"id":"W2546840736","doi":"10.1109/itw2.2006.323689","title":"Interleaved Construction of Binary Sequences with Optimal Autocorrelation Magnitude","year":2006,"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":"","keywords":"Autocorrelation; Binary number; Combinatorics; Magnitude (astronomy); Mathematics; Algorithm; Computer science; Discrete mathematics; Statistics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004764019,0.0003408538,0.0003600348,0.0008768423,0.0003541503,0.0006657864,0.0003833177,0.0004542808,0.002009251],"category_scores_gemma":[0.002335314,0.0003200504,0.0002779687,0.0006992105,0.0005435018,0.0008056582,0.0008980729,0.0005279019,0.0005625102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005945598,"about_ca_system_score_gemma":0.0006479943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002709091,"about_ca_topic_score_gemma":0.0004472185,"domain_scores_codex":[0.9993978,0.000149645,0.00004087337,0.00008794774,0.0001999707,0.0001238366],"domain_scores_gemma":[0.9986192,0.0003889161,0.0002663619,0.0003242432,0.000279922,0.0001214783],"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":[0.001419763,0.0002072532,0.0031011,0.0002041825,0.00006534267,0.0008170642,0.000462028,0.07828713,0.2183218,0.4474388,0.002399555,0.2472759],"study_design_scores_gemma":[0.0001837444,0.0005660426,0.002989378,0.0000911391,0.00008011128,0.001406986,0.000128213,0.5807531,0.2277689,0.1670197,0.01889276,0.0001198895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3988658,0.0003274347,0.5850598,0.0002532712,0.0001095741,0.00007876164,0.0001972062,0.0003970069,0.01471116],"genre_scores_gemma":[0.8545521,0.0001576617,0.1393771,0.00009633842,0.00004402957,0.00008405927,0.0002562496,0.00005713275,0.005375419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002009251,"threshold_uncertainty_score":0.006721616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005295139646072724,"score_gpt":0.1936768628697477,"score_spread":0.188381723223675,"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."}}