{"id":"W4238268284","doi":"10.4018/978-1-60566-717-1.ch005","title":"Dynamic View Selection for OLAP","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Online analytical processing; Materialized view; Data warehouse; Computer science; Aggregate (composite); Selection (genetic algorithm); Task (project management); Set (abstract data type); Information retrieval; Order (exchange); Data mining; Database; View; Artificial intelligence; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001066124,0.0003578484,0.0004043128,0.00005033892,0.0001454453,0.00005112527,0.0004483739,0.0002370268,0.00001236194],"category_scores_gemma":[0.00000932945,0.0003375905,0.0001970309,0.00001893914,0.00004972247,0.0001907357,0.000211251,0.0001466647,0.0001404309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013175,"about_ca_system_score_gemma":0.0001683287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006630529,"about_ca_topic_score_gemma":0.0003343375,"domain_scores_codex":[0.9985124,0.00001101898,0.0003436045,0.0006147978,0.000204229,0.0003138934],"domain_scores_gemma":[0.9988316,0.00002199742,0.0002588907,0.0006261425,0.0001529253,0.0001084003],"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":[0.00000862112,0.000003079994,7.490061e-7,0.00007816136,0.0000341474,0.000004573107,0.00002301344,9.844923e-7,0.000009407366,0.9634773,0.0009452266,0.03541479],"study_design_scores_gemma":[0.0001424271,0.0001035219,0.000002642133,0.0001931707,0.00002034029,0.00006499246,8.749362e-7,0.0003771199,0.00002483094,0.4185854,0.5801496,0.0003351317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[8.901692e-7,0.0004412952,0.521411,0.00001071467,0.0005810928,0.0003610344,0.0001574867,0.0001809921,0.4768555],"genre_scores_gemma":[0.007064575,0.00005959156,0.3978935,0.001050067,0.0006322389,0.0003200217,0.00007375063,0.0001587457,0.5927475],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5792044,"threshold_uncertainty_score":0.9999076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087255326665644,"score_gpt":0.2560192855109912,"score_spread":0.2351467322443348,"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."}}