{"id":"W2060490725","doi":"10.4018/jdwm.2008070101","title":"RCUBE","year":2008,"lang":"en","type":"article","venue":"International Journal of Data Warehousing and Mining","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Concordia University; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Online analytical processing; Computer science; Scalability; Search engine indexing; Materialized view; Scheme (mathematics); Multidimensional data; Volume (thermodynamics); Database index; Index (typography); Distributed computing; Data mining; Database; Information retrieval; Data warehouse; View; Database design; World Wide Web","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":[0.0002514028,0.00005783652,0.0001031551,0.0001033954,0.00008428431,0.00004746109,0.0007597198,0.00001537556,0.000002992203],"category_scores_gemma":[0.0001107814,0.00004774539,0.00001798574,0.00005391937,0.00004089761,0.002180802,0.0005032255,0.00007516554,0.000001575019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001455237,"about_ca_system_score_gemma":0.00007635431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001378727,"about_ca_topic_score_gemma":0.000002525166,"domain_scores_codex":[0.9992312,0.00001927285,0.000252304,0.0001289283,0.0002882098,0.00008010539],"domain_scores_gemma":[0.9992407,0.00007139526,0.0002148742,0.0002432522,0.0001783255,0.00005143675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005247656,0.0001046165,0.009105362,0.00001775402,0.0002816445,0.003141355,0.006482043,0.000292299,0.00213149,0.0166378,0.01501973,0.9467334],"study_design_scores_gemma":[0.001545713,0.0001458743,0.004419382,0.0006113305,0.00001694265,0.02606558,0.0008054179,0.02087297,0.0007441776,0.0003417441,0.9440521,0.0003787799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1040001,0.000861215,0.8932559,0.0005585951,0.001021562,0.00001361804,0.00003337155,0.00001918599,0.0002363806],"genre_scores_gemma":[0.5695415,0.0002740788,0.4296029,0.0001631564,0.0003581097,1.42595e-7,0.00001161311,0.000004552013,0.00004394837],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9463546,"threshold_uncertainty_score":0.1947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09224246699132363,"score_gpt":0.324069619711315,"score_spread":0.2318271527199914,"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."}}