{"id":"W1539879039","doi":"10.1007/978-3-540-85836-2_12","title":"Processing Aggregate Queries on Spatial OLAP Data","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Online analytical processing; Computer science; Spatial query; Query optimization; Spatial database; Set (abstract data type); Database; Aggregate (composite); Spatial analysis; Data mining; Query language; Information retrieval; Sargable; Web search query; Data warehouse; Search engine; Geography","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","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.000671503,0.0005845983,0.0004815676,0.0007561898,0.0004632638,0.001273345,0.009929093,0.000194392,0.0000155303],"category_scores_gemma":[0.00008339608,0.0005146435,0.00006650336,0.0005644356,0.0008156128,0.002352887,0.006079261,0.0007372738,0.0001094546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387319,"about_ca_system_score_gemma":0.0004878624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005539922,"about_ca_topic_score_gemma":0.0001186576,"domain_scores_codex":[0.995093,0.00002661911,0.0004671064,0.002368227,0.001345258,0.0006997265],"domain_scores_gemma":[0.9957481,0.0001674143,0.0003462229,0.00345902,0.000131986,0.0001472793],"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":[0.000004319308,0.00002292152,0.000006840504,0.00003093036,0.000006596829,0.0002171927,0.0002406556,0.001274544,0.000004711356,0.002413405,0.0003323121,0.9954455],"study_design_scores_gemma":[0.000316076,0.000209278,0.00008077918,0.0007647363,0.000009889971,0.00007332306,1.201724e-7,0.9201367,0.000402431,0.01759364,0.05939864,0.001014322],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000008235554,0.0006230004,0.9900164,0.0009368243,0.001894803,0.0003188057,0.00003055359,0.0002560672,0.005915314],"genre_scores_gemma":[0.0256785,0.000637023,0.9638658,0.004517302,0.002341944,0.00001257511,0.0002643726,0.0000987896,0.002583732],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9944313,"threshold_uncertainty_score":0.9997634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03638146454789528,"score_gpt":0.2606575976338757,"score_spread":0.2242761330859805,"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."}}