{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008065953,0.00007532705,0.0000813376,0.0000361823,0.00007073239,0.00002836165,0.0002048883,0.00001324661,0.00002251405],"category_scores_gemma":[0.000008987704,0.00003561131,0.00001491934,0.0001158009,0.00002713499,0.001021103,0.0001645492,0.00002329444,0.00007029797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000159538,"about_ca_system_score_gemma":0.00002219392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002719758,"about_ca_topic_score_gemma":0.00002823505,"domain_scores_codex":[0.9993716,0.00001050934,0.00009290797,0.0002290115,0.0001173535,0.000178593],"domain_scores_gemma":[0.9994173,0.00003742351,0.00003341469,0.0004260789,0.00003128975,0.00005451595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000450903,0.000008914084,0.0003843946,0.000006341769,0.000008581977,0.00002158067,0.0001998777,0.0000626229,0.006580806,0.942677,0.0004581319,0.04958722],"study_design_scores_gemma":[0.00230597,0.0004080086,0.001066469,0.0006884296,0.000007921472,0.0002537572,0.0003166081,0.007467548,0.1551324,0.002100723,0.8289176,0.001334641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0016251,0.00003490823,0.9859735,0.0005256748,0.00009016427,0.00004971888,0.000001328614,0.0002161633,0.01148341],"genre_scores_gemma":[0.156969,0.000007717224,0.8394178,0.0001254143,0.00004549254,0.000009958819,3.617805e-7,0.000006687148,0.00341762],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9405763,"threshold_uncertainty_score":0.1452187,"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."}}