{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001435963,0.0002568449,0.0003983004,0.000217371,0.00004984571,0.0001639081,0.001048601,0.0001917062,0.0001373364],"category_scores_gemma":[0.0001215486,0.0002249595,0.00002750035,0.0005072867,0.0001409411,0.0006622892,0.00163486,0.0001560042,0.0002425571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001146465,"about_ca_system_score_gemma":0.00009566228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002703677,"about_ca_topic_score_gemma":0.0001249195,"domain_scores_codex":[0.9986043,0.000001728564,0.0003925988,0.000576233,0.0002873883,0.0001377702],"domain_scores_gemma":[0.9980597,0.00003274024,0.000452638,0.001053395,0.0003902903,0.00001116052],"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":[0.00003265627,0.00005436247,0.001134326,0.004088636,0.0001045073,0.000005828629,0.000005285078,0.000009331727,0.00004076215,0.1162473,0.3953524,0.4829246],"study_design_scores_gemma":[0.00007409392,0.000001532574,0.000337821,0.00009810851,0.000221108,0.000001219772,0.000007473436,0.01403051,0.000004236437,0.006973051,0.9779922,0.0002585783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007980202,0.0006231096,0.1275741,0.001192503,0.0004798421,0.0003762596,0.000253212,0.0001204388,0.8693725],"genre_scores_gemma":[0.03086192,0.003033606,0.003126294,0.008632716,0.0282725,0.00003809176,0.05457502,0.0004115683,0.8710483],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5826399,"threshold_uncertainty_score":0.9173582,"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."}}