{"id":"W2623957875","doi":"","title":"Data Warehouse Implementations","year":2009,"lang":"en","type":"book","venue":"VDM Verlag Dr. Müller eBooks","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data warehouse; Implementation; Quality (philosophy); Warehouse; Data quality; Computer science; Dimensional modeling; Business; Knowledge management; Database; Data science; Marketing; Software engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01129078,0.0005096156,0.0003451642,0.00172537,0.002545425,0.01025155,0.002910706,0.001398966,0.01661485],"category_scores_gemma":[0.03355768,0.0006040838,0.0007180527,0.00415093,0.001079044,0.007046148,0.004123269,0.001733494,0.007496948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01039003,"about_ca_system_score_gemma":0.01407535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04577582,"about_ca_topic_score_gemma":0.06116416,"domain_scores_codex":[0.9842169,0.002456153,0.001057452,0.001169095,0.008500288,0.00260003],"domain_scores_gemma":[0.9721903,0.004245592,0.001914641,0.004757782,0.0141594,0.002732347],"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":[0.0001074779,0.0004475955,0.0334168,0.000550238,0.00007741686,0.0004784635,0.004833829,0.0009930322,0.00295932,0.04727043,0.09943709,0.8094285],"study_design_scores_gemma":[0.00002760957,0.0002125901,0.02821188,0.0006173158,0.00005315539,0.0007539635,0.009719122,0.001953667,0.004571792,0.008041805,0.9457593,0.00007776931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2926482,0.005898837,0.06917342,0.0240629,0.0013671,0.001623878,0.002820012,0.005443102,0.5969625],"genre_scores_gemma":[0.681637,0.006129703,0.1014577,0.004072539,0.0002627698,0.0005733872,0.005659247,0.001337189,0.1988704],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04577582,"threshold_uncertainty_score":0.0910188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1820615504725651,"score_gpt":0.3386240325780381,"score_spread":0.156562482105473,"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."}}