{"id":"W2808194765","doi":"10.33423/jabe.v20i1.316","title":"Business Intelligence: Oxymoron or a Big Data Technique?","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oxymoron; Business analytics; Business intelligence; SWOT analysis; Internship; Big data; Graduation (instrument); Business analysis; Analytical skill; Analytics; Intelligence analysis; Knowledge management; Data science; Psychology; Computer science; Business; Medical education; Business model; Marketing; Engineering; Mathematics education; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01461356,0.0009572826,0.001271352,0.005944692,0.00258611,0.01451963,0.002036687,0.003072311,0.006420004],"category_scores_gemma":[0.01794453,0.0005269236,0.0009379248,0.007213963,0.03415152,0.04145848,0.006181851,0.008144935,0.001809188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003143898,"about_ca_system_score_gemma":0.003145427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00187959,"about_ca_topic_score_gemma":0.002275463,"domain_scores_codex":[0.9919081,0.00388969,0.0003702818,0.000679073,0.002725066,0.0004278462],"domain_scores_gemma":[0.983457,0.01043013,0.001276587,0.002254243,0.0015311,0.001050896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003818952,0.00005259219,0.001975342,0.00055226,0.00004091975,0.0001333433,0.005605504,0.0001447669,0.0002462814,0.8719623,0.02849809,0.09075042],"study_design_scores_gemma":[0.00001472125,0.00002880277,0.0009670984,0.0009729663,0.00001842665,0.0002198583,0.009084851,0.000957332,0.0002473452,0.8510078,0.1364538,0.00002706208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01478734,0.06110895,0.1719688,0.5903988,0.01120959,0.0001447984,0.0004104605,0.0003961401,0.1495751],"genre_scores_gemma":[0.6392263,0.08337191,0.1311104,0.0870058,0.02163945,0.0005339252,0.0004844325,0.0005891182,0.03603854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01461356,"threshold_uncertainty_score":0.07728481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279856580003887,"score_gpt":0.2851090525144883,"score_spread":0.1571233945140997,"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."}}