{"id":"W2460411447","doi":"10.1145/2938503.2938515","title":"Optimizing Druid with Roaring bitmaps","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bitmap; Computer science; Search engine indexing; Terabyte; Online analytical processing; Computer graphics (images); Parallel computing; Data mining; Information retrieval; Data warehouse; Operating system","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":[0.001251624,0.001337267,0.0009850744,0.001316385,0.0006290013,0.002365784,0.00308824,0.0006922751,0.004929392],"category_scores_gemma":[0.007469638,0.0004963782,0.0005328044,0.003634135,0.000688997,0.004858976,0.002176627,0.00105483,0.002330163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071872,"about_ca_system_score_gemma":0.00151924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00457505,"about_ca_topic_score_gemma":0.003545152,"domain_scores_codex":[0.9979183,0.0002934519,0.0002274102,0.0002739509,0.0009631933,0.0003236256],"domain_scores_gemma":[0.9955929,0.001333609,0.0003049502,0.00150478,0.001033627,0.0002301391],"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":[0.003784103,0.001107152,0.006753785,0.001048365,0.0001905508,0.0004795181,0.0008598811,0.1043037,0.1015342,0.01350579,0.04096129,0.7254716],"study_design_scores_gemma":[0.0004366211,0.001062669,0.002701877,0.000061882,0.00009372077,0.0005924844,0.0006955942,0.7653669,0.1804669,0.008009139,0.04034963,0.0001626257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3804913,0.004327629,0.5124825,0.0008842814,0.0005531623,0.0008642098,0.003077718,0.0805712,0.01674803],"genre_scores_gemma":[0.5568213,0.0006522515,0.4323176,0.0003521125,0.00005824606,0.000397048,0.003657472,0.00144129,0.004302627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004929392,"threshold_uncertainty_score":0.01649046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110475594854506,"score_gpt":0.2112262298893055,"score_spread":0.2001214739407605,"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."}}