{"id":"W4393179152","doi":"10.1017/9781009283403.015","title":"Sequence Sets with Low Correlation","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sequence (biology); Correlation; Content (measure theory); Information retrieval; Computer science; Mathematics; Chemistry; Geometry","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":[0.0005012784,0.0007409182,0.0008766522,0.002085967,0.0005690532,0.001624192,0.0007310456,0.0005663842,0.08253215],"category_scores_gemma":[0.003431479,0.0003481683,0.000429347,0.002500147,0.0006264986,0.002174651,0.0008292028,0.001095762,0.03109679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000874189,"about_ca_system_score_gemma":0.0005867511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007743521,"about_ca_topic_score_gemma":0.001069191,"domain_scores_codex":[0.9993778,0.00008676833,0.00004424889,0.0001306911,0.0003269442,0.00003357305],"domain_scores_gemma":[0.9983047,0.0009128058,0.00005059962,0.000251171,0.0004218793,0.00005886701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009614477,0.00003382903,0.0002905594,0.001094236,0.0000262311,0.0003102088,0.0001950259,0.0116387,0.004850023,0.3063793,0.2277228,0.447363],"study_design_scores_gemma":[0.00001352166,0.00008953981,0.001128666,0.0003080332,0.00002603119,0.0009413184,0.00008094741,0.0262554,0.0052615,0.4028504,0.5629945,0.00005014381],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01463429,0.01769696,0.4383498,0.005259651,0.003262676,0.0002143959,0.01120283,0.003916122,0.5054633],"genre_scores_gemma":[0.1804179,0.01952626,0.1813572,0.002819766,0.003813042,0.0006182592,0.03350794,0.002243306,0.5756963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08253215,"threshold_uncertainty_score":0.2760975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776070440184666,"score_gpt":0.1981528616239696,"score_spread":0.180392157222123,"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."}}