{"id":"W2037307735","doi":"10.1016/j.jcss.2007.03.007","title":"Optimal spaced seeds for faster approximate string matching","year":2007,"lang":"en","type":"article","venue":"Journal of Computer and System Sciences","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"String (physics); Mathematics; Matching (statistics); Mathematical optimization; Computer science; Combinatorics; Statistics","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":[0.001443926,0.0008650149,0.001819699,0.002016586,0.0007783597,0.001364617,0.001559573,0.002018678,0.008516471],"category_scores_gemma":[0.01246917,0.0007018496,0.0006308823,0.003492477,0.0008287264,0.002868015,0.002283519,0.001421713,0.003461359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008204737,"about_ca_system_score_gemma":0.001690555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009589407,"about_ca_topic_score_gemma":0.002143378,"domain_scores_codex":[0.9981583,0.0004715552,0.0001572181,0.0003314911,0.0007451604,0.0001364198],"domain_scores_gemma":[0.9950251,0.002199692,0.0003081407,0.001674159,0.0006160252,0.0001768887],"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":[0.002475759,0.0004633138,0.001618354,0.0003128902,0.00008388173,0.0003808631,0.0002787005,0.1024418,0.05350361,0.06364508,0.01523642,0.7595594],"study_design_scores_gemma":[0.0002942715,0.0003326809,0.0004623483,0.00004798279,0.0000383926,0.0005384224,0.0001161829,0.8851247,0.03497509,0.06927939,0.008753537,0.00003698171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0452467,0.000870291,0.9468681,0.0003041511,0.0003216182,0.0001423122,0.0002339479,0.003081703,0.002931233],"genre_scores_gemma":[0.1883829,0.00026814,0.8062435,0.000183351,0.000117477,0.0001671107,0.0006234596,0.000334411,0.003679624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008516471,"threshold_uncertainty_score":0.02849042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193825351894405,"score_gpt":0.2730451647751626,"score_spread":0.2511069112562185,"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."}}