{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01845274,0.000595795,0.001609793,0.0006232294,0.0001506095,0.0003031398,0.006627435,0.0003244122,0.001526539],"category_scores_gemma":[0.002810056,0.0004953635,0.0002290518,0.0002078798,0.0002194851,0.001386045,0.003723391,0.0005293573,0.00139831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006969549,"about_ca_system_score_gemma":0.0002720901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006256456,"about_ca_topic_score_gemma":0.0005070885,"domain_scores_codex":[0.9887261,0.0005111048,0.003659161,0.002075834,0.004576419,0.0004513535],"domain_scores_gemma":[0.9835601,0.00209084,0.002745483,0.01094187,0.0003944702,0.0002671691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002442796,0.00005550223,0.00002770315,0.0002527336,0.000104829,0.00004973168,0.00007256316,0.00001048615,0.000002732326,0.277096,0.6183558,0.1039475],"study_design_scores_gemma":[0.000232996,0.00005407452,0.00009379068,0.0005447801,0.0001072968,0.000006297836,0.0001788571,0.0001552057,6.542223e-7,0.007498657,0.9905816,0.0005457532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000009584449,0.002822283,0.005522152,0.0002059502,0.003278456,0.0008492215,0.05172512,0.000072803,0.9355145],"genre_scores_gemma":[0.0002725605,0.003801036,0.002466768,0.0002175891,0.002083983,0.00001220697,0.02481632,0.00006328311,0.9662663],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3722259,"threshold_uncertainty_score":0.9997498,"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."}}