{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05051381,0.001316065,0.0009003634,0.005924882,0.002782827,0.01450252,0.004055282,0.00289676,0.003897795],"category_scores_gemma":[0.1465337,0.0009683337,0.001266345,0.004013041,0.003255198,0.02324714,0.01438513,0.004230784,0.001135056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003696769,"about_ca_system_score_gemma":0.008236982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007447152,"about_ca_topic_score_gemma":0.003268484,"domain_scores_codex":[0.9489334,0.02344839,0.003901536,0.004420714,0.01681382,0.002482088],"domain_scores_gemma":[0.8384902,0.05809577,0.01257112,0.06030488,0.02851588,0.002022143],"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":[0.0003624842,0.0007557716,0.03459323,0.0006296139,0.0001603801,0.0003186328,0.00833633,0.03035792,0.008203929,0.2141528,0.004602931,0.697526],"study_design_scores_gemma":[0.0002089006,0.0009475666,0.01909929,0.001517473,0.0004395336,0.000825932,0.008082294,0.2897154,0.05919225,0.4974604,0.1221392,0.0003717637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08518633,0.0005042632,0.8742403,0.006314818,0.0001411774,0.0004317017,0.0002151483,0.004446582,0.02851977],"genre_scores_gemma":[0.6958334,0.0004346735,0.29846,0.0004402232,0.00007565598,0.0002599156,0.0006357629,0.0004972825,0.003363022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05051381,"threshold_uncertainty_score":0.2671457,"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."}}