{"id":"W1596809600","doi":"","title":"Suffix arrays: what are they good for?","year":2006,"lang":"en","type":"article","venue":"Murdoch Research Repository (Murdoch University)","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Suffix; Compressed suffix array; Computer science; Generalized suffix tree; Suffix array; Suffix tree; Theoretical computer science; Algorithm; Linguistics","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":[0.01120759,0.001169231,0.002404296,0.002917234,0.002667279,0.01090313,0.002723062,0.005282374,0.01377457],"category_scores_gemma":[0.1292274,0.001128008,0.0009488654,0.005749077,0.00909532,0.04096984,0.004121962,0.00570945,0.01207043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464523,"about_ca_system_score_gemma":0.001921333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007675535,"about_ca_topic_score_gemma":0.0008743631,"domain_scores_codex":[0.9895439,0.004536666,0.0008307557,0.001312492,0.003210592,0.0005655313],"domain_scores_gemma":[0.9341604,0.03633433,0.002571368,0.01647032,0.008502471,0.001961145],"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":[0.000725674,0.00008688158,0.003375349,0.0012441,0.0001142531,0.000196297,0.001313411,0.002551035,0.003198512,0.3948064,0.0713283,0.5210597],"study_design_scores_gemma":[0.00008267082,0.0002225481,0.0007243018,0.001073422,0.00006756546,0.0007653414,0.001352998,0.004849057,0.003780616,0.6620924,0.3248979,0.00009111648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04514812,0.1711365,0.4469988,0.2396383,0.01589847,0.0003372542,0.002904244,0.005326066,0.07261226],"genre_scores_gemma":[0.2636196,0.09790182,0.5498555,0.03153047,0.01566797,0.0007727392,0.003457827,0.004224753,0.03296928],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01377457,"threshold_uncertainty_score":0.05927211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03750431777709179,"score_gpt":0.272280257716205,"score_spread":0.2347759399391132,"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."}}