{"id":"W3086212533","doi":"10.14778/3407790.3407861","title":"Suffix rank","year":2020,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Toronto","funders":"","keywords":"Substring; Suffix array; Suffix; Generalized suffix tree; Computer science; Suffix tree; Compressed suffix array; Scalability; Rank (graph theory); Extension (predicate logic); Liveness; Algorithm; Context (archaeology); Parallelizable manifold; Auxiliary memory; Theoretical computer science; Data structure; Mathematics; Combinatorics; Database","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":[0.001176269,0.0009267573,0.001355504,0.001760915,0.001097489,0.002684689,0.002115023,0.00117613,0.01830337],"category_scores_gemma":[0.01088772,0.0003767759,0.0006677226,0.004035955,0.0008124274,0.006068904,0.002383447,0.001273937,0.009032955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008107889,"about_ca_system_score_gemma":0.001793293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001472585,"about_ca_topic_score_gemma":0.002310262,"domain_scores_codex":[0.9979773,0.0002382998,0.0001960593,0.000489657,0.0008640319,0.0002346567],"domain_scores_gemma":[0.9946901,0.001988307,0.0003659369,0.001647568,0.001097603,0.0002105487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006139627,0.0002278994,0.0032059,0.0006130693,0.00006407866,0.0002690987,0.0002414825,0.04519747,0.01331095,0.0635201,0.06097116,0.8117649],"study_design_scores_gemma":[0.0001545204,0.0006445854,0.001104409,0.0001202324,0.00007585423,0.001306628,0.0004606748,0.6805823,0.04814653,0.1752872,0.09205285,0.00006418587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08433167,0.00247582,0.8449347,0.002205421,0.0004948667,0.0004789739,0.005492691,0.01456094,0.04502492],"genre_scores_gemma":[0.2759323,0.001334964,0.6801626,0.0007248614,0.0004983413,0.0003897718,0.009222846,0.001395304,0.030339],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01830337,"threshold_uncertainty_score":0.06123084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641272735555164,"score_gpt":0.2067493933802926,"score_spread":0.1903366660247409,"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."}}