{"id":"W3093842393","doi":"10.4018/joeuc.2020100107","title":"Business Analytics/Business Intelligence and IT Infrastructure","year":2020,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Times Higher Education; Missouri University of Science and Technology; National Center for Women and Information Technology; University of Nebraska-Lincoln; Western Washington University; National University of Singapore; National Science Foundation","keywords":"Business intelligence; Flexibility (engineering); Business analytics; Knowledge management; Analytics; Business; Computer science; Information technology management; Business activity monitoring; Process management; Business process; Business model; Information system; Data science; Business process modeling; Electronic business; Marketing; Management information systems; Management; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001782141,0.0001777166,0.0002635604,0.0001682093,0.0001951052,0.0003996644,0.000258384,0.00006556857,0.0003009337],"category_scores_gemma":[0.000623845,0.0001441514,0.00002367832,0.001560783,0.00009150121,0.001104815,0.0003358753,0.0001901571,0.0000129539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001109162,"about_ca_system_score_gemma":0.00006186133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002020153,"about_ca_topic_score_gemma":0.000003104443,"domain_scores_codex":[0.9988509,0.000007028755,0.0004780916,0.0001992816,0.0003017636,0.0001629098],"domain_scores_gemma":[0.9979407,0.00006313325,0.0004384519,0.00006845735,0.001447736,0.00004148425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002417443,0.0001857278,0.7887844,0.002079027,0.0002982432,0.000176392,0.001213992,0.0485665,0.002491639,0.04386095,0.0201672,0.0919342],"study_design_scores_gemma":[0.0006098007,0.00002937742,0.8010898,0.0004546467,0.0002326105,0.0004286522,0.0009217116,0.07940363,0.000248107,0.005627863,0.1102521,0.0007016747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6173649,0.0006093365,0.358757,0.02143889,0.0008203916,0.0001147122,0.000008006466,0.00005576519,0.0008309892],"genre_scores_gemma":[0.9913931,0.0001416077,0.002164302,0.003943862,0.002296531,8.082478e-8,0.00001695384,0.0000214843,0.00002207406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3740282,"threshold_uncertainty_score":0.5878322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504953998476024,"score_gpt":0.2495223664295887,"score_spread":0.2044728264448284,"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."}}