{"id":"W2104367954","doi":"10.1109/ccgrid.2012.19","title":"Parallel Real-Time OLAP on Multi-core Processors","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Online analytical processing; Computer science; Data warehouse; Data cube; Benchmark (surveying); Speedup; Database; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000171505,0.0001283998,0.0001352439,0.00004349562,0.00009844724,0.00002256979,0.0002509498,0.00003753014,0.00005615671],"category_scores_gemma":[0.00003147204,0.00009197005,0.00003428486,0.0001570081,0.00002534828,0.001026871,0.0001387612,0.00006520031,0.001095082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001993274,"about_ca_system_score_gemma":0.00002148178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006404149,"about_ca_topic_score_gemma":0.000008300965,"domain_scores_codex":[0.999055,0.0000195488,0.0001570788,0.0002395134,0.0001819778,0.0003468916],"domain_scores_gemma":[0.9991975,0.00004256344,0.00006173109,0.0005193604,0.00003853084,0.000140308],"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":[0.00001430781,0.0002761907,0.002347475,0.00004325211,0.00001510275,0.000008256631,0.001433381,0.0001434297,0.002254355,0.977797,0.007871672,0.00779557],"study_design_scores_gemma":[0.003628748,0.0006332588,0.03820192,0.0003288886,0.00001997606,0.0001440147,0.0006171266,0.1033755,0.01831305,0.001703977,0.8302524,0.002781139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01198044,0.00007678208,0.9661108,0.0001785901,0.0003030176,0.0002121424,0.000007661763,0.0004661145,0.02066447],"genre_scores_gemma":[0.1169011,0.0000252369,0.8636112,0.0004262979,0.0002108369,0.00005295762,0.00001573283,0.00001828321,0.01873835],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9760931,"threshold_uncertainty_score":0.9996827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04170832125188161,"score_gpt":0.2925967829409447,"score_spread":0.250888461689063,"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."}}