{"id":"W3101685628","doi":"10.1016/j.tcs.2020.11.018","title":"Revisiting the Prefer-same and Prefer-opposite de Bruijn sequence constructions","year":2020,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"De Bruijn sequence; Lexicographical order; Sequence (biology); Combinatorics; Mathematics; Representation (politics); Construct (python library); Greedy algorithm; Simple (philosophy); Discrete mathematics; Algorithm; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003729588,0.000850716,0.0008294711,0.001925485,0.003361418,0.004377916,0.001801896,0.002191173,0.01054922],"category_scores_gemma":[0.01328463,0.0006886504,0.001025236,0.002191183,0.005116105,0.01127165,0.004175283,0.004992253,0.003737073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181378,"about_ca_system_score_gemma":0.001862145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000787902,"about_ca_topic_score_gemma":0.001042642,"domain_scores_codex":[0.9958977,0.001559215,0.0002476842,0.0005012704,0.001292551,0.0005015944],"domain_scores_gemma":[0.993166,0.003022226,0.0003106822,0.002238312,0.0009977465,0.0002650539],"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":[0.00002456708,0.0000100657,0.00005442364,0.00002443742,0.000001992827,0.00002971565,0.0001217407,0.0003653133,0.0005343903,0.9916024,0.0008474031,0.006383645],"study_design_scores_gemma":[0.000009820821,0.00001502456,0.00005445083,0.00003078641,0.000007188205,0.0001505886,0.00008663774,0.002438916,0.001808398,0.9782335,0.01714543,0.00001932758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07766749,0.001899898,0.5926895,0.008039417,0.003282116,0.0001522582,0.0006223513,0.0008485569,0.3147984],"genre_scores_gemma":[0.7118185,0.002209849,0.2292079,0.003146379,0.001453064,0.0002646578,0.0006233677,0.001277033,0.04999928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01054922,"threshold_uncertainty_score":0.03529066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492197415689523,"score_gpt":0.2510284939185019,"score_spread":0.2261065197616067,"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."}}