{"id":"W1998415522","doi":"10.4018/ijdwm.2015010102","title":"Parallel Real-Time OLAP on Multi-Core Processors","year":2015,"lang":"en","type":"article","venue":"International Journal of Data Warehousing and Mining","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Online analytical processing; Computer science; Data warehouse; Data cube; Benchmark (surveying); Database; Xeon Phi; Decision support system; Data mining; Parallel computing","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":[0.001593767,0.001765869,0.001061043,0.0009539651,0.001051739,0.002147226,0.002798643,0.0005533909,0.004445226],"category_scores_gemma":[0.003586762,0.0007543004,0.0007339564,0.001721935,0.0007757273,0.002195402,0.00159056,0.001420671,0.001487255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136629,"about_ca_system_score_gemma":0.002624019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006404006,"about_ca_topic_score_gemma":0.005660061,"domain_scores_codex":[0.9973355,0.0004589059,0.0002546275,0.0006351964,0.0009151901,0.0004004672],"domain_scores_gemma":[0.9971942,0.0006625103,0.0002069956,0.0007185999,0.0009952649,0.0002224846],"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":[0.005167157,0.001107516,0.007433663,0.001166248,0.0005957607,0.001313228,0.0009803212,0.3656594,0.1053941,0.01418804,0.04645089,0.4505437],"study_design_scores_gemma":[0.0003035973,0.0004758933,0.001108623,0.00003232959,0.00007981568,0.0001980609,0.0001750083,0.9418256,0.03960007,0.005385316,0.0107489,0.00006679561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2489015,0.001998608,0.6961772,0.0007005837,0.0005171573,0.0009849616,0.0008947384,0.03357147,0.01625373],"genre_scores_gemma":[0.5474951,0.0005044761,0.4427264,0.000317553,0.00009078665,0.0006295542,0.001578472,0.0008364804,0.005821253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006404006,"threshold_uncertainty_score":0.01487076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1509179829619319,"score_gpt":0.365363937577586,"score_spread":0.2144459546156541,"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."}}