{"id":"W2291149938","doi":"10.1137/1.9781611973754.2","title":"A Data-Aware FM-index","year":2014,"lang":"en","type":"book-chapter","venue":"Society for Industrial and Applied Mathematics eBooks","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Search engine indexing; Computer science; Code (set theory); Index (typography); Algorithm; Wavelet; Data compression; Entropy (arrow of time); Tree (set theory); Theoretical computer science; Wavelet transform; Data mining; Artificial intelligence; Mathematics","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":[0.0005431595,0.0007217114,0.0009793465,0.002703541,0.0007548052,0.001469022,0.002176726,0.0008609417,0.008136811],"category_scores_gemma":[0.00289029,0.00029763,0.0004491675,0.003404489,0.0004845576,0.003724717,0.002140858,0.0008975057,0.004943175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006894857,"about_ca_system_score_gemma":0.001217055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296032,"about_ca_topic_score_gemma":0.00183592,"domain_scores_codex":[0.999119,0.00006314972,0.00006725157,0.00012109,0.0005611001,0.00006832476],"domain_scores_gemma":[0.9987263,0.000208237,0.00006134599,0.000534971,0.0003966056,0.0000725678],"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":[0.0004140312,0.000215117,0.0008598419,0.0003834293,0.00004302421,0.0002147421,0.0001411303,0.006636557,0.07042374,0.02106908,0.03474679,0.8648525],"study_design_scores_gemma":[0.0002663242,0.0006164854,0.002919201,0.0001562719,0.000137043,0.003149058,0.0002224497,0.5391344,0.1936819,0.0441242,0.2153817,0.0002110358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02136989,0.002108623,0.9475806,0.0004592089,0.0006249086,0.0002693679,0.00176966,0.01081596,0.01500179],"genre_scores_gemma":[0.1178219,0.000745988,0.8600937,0.000507988,0.0005130943,0.0002371169,0.005541643,0.0007849077,0.01375368],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008136811,"threshold_uncertainty_score":0.02722031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035413490006835,"score_gpt":0.2667702607326768,"score_spread":0.1632289117319933,"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."}}