{"id":"W1994031640","doi":"10.4018/jdm.2014070102","title":"Improving Business Intelligence Traceability and Accountability","year":2014,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Traceability; Computer science; Metadata; Business intelligence; Process management; Data warehouse; Workflow; Accountability; Product (mathematics); Quality (philosophy); Knowledge management; Business process; Database; Software engineering; World Wide Web; Business; Work in process","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":[],"consensus_categories":[],"category_scores_codex":[0.02155284,0.0001610771,0.0003715304,0.000340422,0.0001324516,0.0004455576,0.001172063,0.00002941417,0.0002211647],"category_scores_gemma":[0.00339659,0.0001140569,0.00008538296,0.000655917,0.000164201,0.001557543,0.001165225,0.0001818435,0.00005107596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005777363,"about_ca_system_score_gemma":0.00002215454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009011503,"about_ca_topic_score_gemma":0.00006709343,"domain_scores_codex":[0.996039,0.0004110413,0.001309378,0.0004547767,0.001549879,0.0002358861],"domain_scores_gemma":[0.9965592,0.0008032754,0.000799129,0.001176413,0.0004986484,0.00016336],"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":[0.0001450968,0.0002117266,0.002708787,0.0002755512,0.00006446382,0.00002720642,0.0002146675,0.0001405851,0.00009192929,0.02040938,0.009962345,0.9657483],"study_design_scores_gemma":[0.001811005,0.0004320727,0.2032269,0.0002780348,0.0004091002,0.00008338402,0.0119903,0.01665504,0.000485544,0.07750356,0.6862617,0.0008634471],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1466799,0.000154861,0.8456818,0.002500031,0.0009453814,0.000376038,0.00007073033,0.00002912682,0.003562125],"genre_scores_gemma":[0.9554464,0.0001843012,0.04303103,0.0007860169,0.0001922094,0.000005217524,0.00001111481,0.00001070981,0.0003330544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9648848,"threshold_uncertainty_score":0.7469827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095777086700884,"score_gpt":0.3884190335479261,"score_spread":0.2788413248778377,"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."}}