{"id":"W4245953805","doi":"10.1007/978-0-387-39940-9_2382","title":"Data Quality Benchmarking","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Benchmarking; Quality (philosophy); Computer science; Business; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007052376,0.0009233538,0.0009515093,0.005506774,0.001132779,0.005886829,0.002215256,0.001547686,0.06540566],"category_scores_gemma":[0.01781863,0.0004606375,0.0006612259,0.008010671,0.0009434206,0.005190038,0.003076731,0.002000197,0.02053586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002723463,"about_ca_system_score_gemma":0.004151131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003105376,"about_ca_topic_score_gemma":0.003703593,"domain_scores_codex":[0.9927867,0.001317231,0.0004521846,0.0007285209,0.004420361,0.0002949141],"domain_scores_gemma":[0.9916047,0.001986773,0.0003725366,0.001544768,0.004145089,0.0003460221],"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":[0.00002541239,0.00005751016,0.0005615579,0.0004289662,0.00001734416,0.00003787602,0.0001770532,0.0008776059,0.0005678388,0.1230751,0.2631197,0.611054],"study_design_scores_gemma":[0.000007919904,0.00004386102,0.001285943,0.0007369923,0.00001459833,0.0001901069,0.0001856591,0.001925855,0.00192323,0.05599125,0.9376717,0.00002295469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002894532,0.02078434,0.1057531,0.01271707,0.003416454,0.0004705625,0.002867964,0.002974323,0.8481217],"genre_scores_gemma":[0.07479169,0.03006311,0.1198331,0.006593674,0.001967904,0.0006529742,0.01081682,0.00250057,0.7527801],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06540566,"threshold_uncertainty_score":0.2188038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2811221040659851,"score_gpt":0.4236949266335831,"score_spread":0.142572822567598,"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."}}