{"id":"W2007520294","doi":"10.1007/s10878-008-9194-5","title":"Periodic complementary binary sequences and Combinatorial Optimization algorithms","year":2008,"lang":"en","type":"article","venue":"Journal of Combinatorial Optimization","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Formalism (music); Autocorrelation; Combinatorial optimization; Theory of computation; Algorithm; Binary number; Mathematics; Optimization problem; Computer science; Theoretical computer science","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":[0.00210744,0.0009482765,0.001282454,0.001785931,0.0009392134,0.002586527,0.001495996,0.001952788,0.006295853],"category_scores_gemma":[0.01299417,0.0007807423,0.0008025722,0.002900015,0.002793177,0.003316821,0.001742143,0.002670455,0.0005872824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582997,"about_ca_system_score_gemma":0.001328921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009142508,"about_ca_topic_score_gemma":0.0009107149,"domain_scores_codex":[0.9988439,0.000589796,0.00004401264,0.0001327792,0.0003018491,0.00008762314],"domain_scores_gemma":[0.9941159,0.004899534,0.0003163798,0.0002962732,0.0002539832,0.0001178787],"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":[0.00005124057,0.00004517284,0.0001712351,0.00006679189,0.00002369382,0.00002691219,0.00004306149,0.07065205,0.0002276383,0.8991262,0.00253332,0.02703283],"study_design_scores_gemma":[0.00002434711,0.00001882772,0.00006247576,0.00002093824,0.000007683019,0.00003201591,0.00001388315,0.1910617,0.0001527876,0.806999,0.001597107,0.000009038471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08014039,0.005572263,0.8329415,0.003465418,0.000674716,0.0001276783,0.0001802886,0.0002225364,0.07667523],"genre_scores_gemma":[0.7118748,0.005777455,0.2404792,0.001035179,0.001150612,0.000490014,0.0004155769,0.0001907366,0.0385864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006295853,"threshold_uncertainty_score":0.02106178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615915097400654,"score_gpt":0.2401402947344964,"score_spread":0.2239811437604899,"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."}}