{"id":"W3092268917","doi":"10.1108/9781800438842","title":"Application of Big Data and Business Analytics","year":2020,"lang":"en","type":"book","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Ministry of Agriculture and Farmers Welfare; Ministry of Education, India; Ministry of Food Processing Industries; Division of Human Resource Development; United Nations Development Programme","keywords":"Big data; Business analytics; Business intelligence; Data science; Analytics; Computer science; Data analysis; Business; Business analysis; Knowledge management; Data mining; Business model; Marketing","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":[0.002104926,0.001159668,0.0007214229,0.003603491,0.00118966,0.009616312,0.001425141,0.00198687,0.01965309],"category_scores_gemma":[0.004757353,0.0007930003,0.001030219,0.006584452,0.002671415,0.008127103,0.004365432,0.00423174,0.01093373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00203811,"about_ca_system_score_gemma":0.003245112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002359977,"about_ca_topic_score_gemma":0.002740228,"domain_scores_codex":[0.9963665,0.0006763676,0.0001648012,0.0003300442,0.002305521,0.0001568024],"domain_scores_gemma":[0.9968238,0.001946368,0.0001044625,0.0004456249,0.000531748,0.0001479814],"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":[0.00001872178,0.0000417224,0.0003877898,0.001122232,0.00006137077,0.0001548641,0.0005922649,0.001217754,0.0009815402,0.3460796,0.4198877,0.2294545],"study_design_scores_gemma":[0.000002028439,0.000006815671,0.0002683832,0.0004269568,0.000005318468,0.0001557926,0.0001016536,0.0004195315,0.0001718101,0.05568197,0.94275,0.000009810225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00111512,0.1285082,0.04717622,0.02484178,0.009174976,0.0002397008,0.0009146465,0.0006457407,0.7873837],"genre_scores_gemma":[0.02559738,0.2893633,0.07340671,0.02411421,0.01098422,0.0004704223,0.002878058,0.001058743,0.5721269],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01965309,"threshold_uncertainty_score":0.06574613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1483068960184667,"score_gpt":0.2902002624689485,"score_spread":0.1418933664504818,"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."}}