{"id":"W2114790712","doi":"10.1006/jagm.2000.1151","title":"Space Efficient Suffix Trees","year":2001,"lang":"en","type":"article","venue":"Journal of Algorithms","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Suffix; Space (punctuation); Computer science; Suffix tree; Artificial intelligence; Mathematics; Combinatorics; Linguistics; Philosophy","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":[0.000532933,0.0001431509,0.0002518429,0.0002047758,0.0001154866,0.000176401,0.00109397,0.0000579452,0.00004191485],"category_scores_gemma":[0.00005010357,0.000102865,0.0001462411,0.0004328592,0.00003616105,0.000539145,0.0002498618,0.0002550907,0.00004409507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005400351,"about_ca_system_score_gemma":0.00009498464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001506679,"about_ca_topic_score_gemma":0.000001331436,"domain_scores_codex":[0.9984152,0.00005821914,0.000423128,0.0001944132,0.000627315,0.000281665],"domain_scores_gemma":[0.9986703,0.00008882173,0.0003608662,0.0004215573,0.0002480759,0.0002104284],"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":[0.0001054952,0.001431972,0.001372004,0.00001789955,0.0001629235,0.003005179,0.002184517,0.01655254,0.004415274,0.01428351,0.0406463,0.9158224],"study_design_scores_gemma":[0.002202529,0.001005101,0.01154974,0.0001920001,0.00003307231,0.004137198,0.0002121139,0.7194228,0.003439207,0.002406405,0.2548571,0.0005427315],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03197483,0.0008876005,0.962519,0.00192448,0.001448762,0.00005676291,0.000002247514,0.0000435877,0.001142665],"genre_scores_gemma":[0.3307252,0.0006837249,0.6649441,0.0004282363,0.001917217,0.000002328869,0.000002221731,0.00002989315,0.001267019],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9152797,"threshold_uncertainty_score":0.4194713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461430931628228,"score_gpt":0.2550175803153401,"score_spread":0.2404032709990578,"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."}}