{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001089063,0.00008979475,0.0001167655,0.00001813904,0.00008014175,0.00007076882,0.001406995,0.00002227726,0.00001373593],"category_scores_gemma":[0.00004759439,0.00005511328,0.00006737249,0.0002631085,0.00002838094,0.0003380782,0.001060341,0.00009060231,0.00001934328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001470993,"about_ca_system_score_gemma":0.00001619392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000126415,"about_ca_topic_score_gemma":8.949419e-8,"domain_scores_codex":[0.9991204,0.000003161976,0.0001656985,0.0002356271,0.0003218358,0.000153326],"domain_scores_gemma":[0.9995629,0.00001388101,0.0001220749,0.0001407426,0.00007996375,0.00008049859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007525189,0.0003472205,0.005784255,0.00031831,0.000101009,0.000003184765,0.00731131,0.00007416913,0.2830206,0.4509428,0.1629835,0.08903839],"study_design_scores_gemma":[0.001870915,0.0004123867,0.005575307,0.0001854626,0.00003431769,0.00002112132,0.0002691266,0.07575242,0.7366163,0.0138684,0.1648779,0.0005164161],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3947206,0.002638447,0.2593187,0.2120973,0.004138572,0.004276745,0.00007334357,0.001850424,0.1208858],"genre_scores_gemma":[0.9743349,0.00002949307,0.02416508,0.001222299,0.0001183193,0.00001410714,4.323061e-7,0.000006766338,0.000108597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5796143,"threshold_uncertainty_score":0.261457,"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."}}