{"id":"W1745342855","doi":"10.1016/j.disc.2015.08.002","title":"A surprisingly simple de Bruijn sequence construction","year":2015,"lang":"en","type":"article","venue":"Discrete Mathematics","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"De Bruijn sequence; Append; String (physics); Mathematics; Complement (music); Sequence (biology); Combinatorics; Amortized analysis; Discrete mathematics; Binary number; Simple (philosophy); Arithmetic; Computer science; Data structure; Programming language","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":[0.0008888227,0.0008496427,0.0008476243,0.001317146,0.001577127,0.001910548,0.00121895,0.001546887,0.01123348],"category_scores_gemma":[0.004667193,0.0005415383,0.0006970639,0.001638171,0.001949615,0.004187987,0.002893717,0.002435716,0.004043093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006175925,"about_ca_system_score_gemma":0.000903845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002850439,"about_ca_topic_score_gemma":0.0004226134,"domain_scores_codex":[0.9985825,0.0003611247,0.00007071681,0.0002800198,0.0005652769,0.0001403689],"domain_scores_gemma":[0.9977715,0.001157972,0.00009516734,0.0006234014,0.0002147492,0.0001372704],"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":[0.0001408371,0.00009967486,0.0002165379,0.0001560305,0.00002088613,0.0002088901,0.0001857287,0.004022285,0.008841536,0.9127285,0.008005309,0.06537375],"study_design_scores_gemma":[0.0000426501,0.0000649286,0.0001278564,0.00003761877,0.00002246082,0.0004344065,0.00004657431,0.02012385,0.008954739,0.9483454,0.02175884,0.00004074062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07827208,0.001117881,0.8101584,0.003427241,0.001649467,0.0002095621,0.0005364544,0.001908596,0.1027203],"genre_scores_gemma":[0.5470174,0.00125538,0.3912754,0.001519621,0.0009234695,0.0003397572,0.0008730835,0.0009364773,0.05585941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01123348,"threshold_uncertainty_score":0.03757972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05442664942256222,"score_gpt":0.3003084988839092,"score_spread":0.245881849461347,"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."}}