{"id":"W2739777025","doi":"10.5220/0006402300280037","title":"The Role of Big Data Analytics in Corporate Decision-making","year":2017,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Big data; Computer science; Data science; Analytics; Data analysis; Business intelligence; Knowledge management; Data mining","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":[0.01892391,0.0008733911,0.0009361909,0.003596118,0.001802954,0.01547357,0.001695233,0.003373206,0.003857078],"category_scores_gemma":[0.04392133,0.0007113493,0.0006596366,0.004710089,0.008523424,0.02487378,0.003408639,0.00524116,0.0009751981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003051533,"about_ca_system_score_gemma":0.005371203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004052164,"about_ca_topic_score_gemma":0.004535118,"domain_scores_codex":[0.9905084,0.005764235,0.0003348709,0.0006201372,0.002330766,0.0004415423],"domain_scores_gemma":[0.9096964,0.07792096,0.003332791,0.003112073,0.003526746,0.002410996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002481164,0.0001933004,0.01162497,0.001159682,0.0002035263,0.0002242349,0.001533784,0.01108232,0.0007350712,0.7510401,0.03282799,0.1891269],"study_design_scores_gemma":[0.00001806891,0.00002167045,0.002255922,0.000523032,0.00003141698,0.00006474576,0.00132126,0.01700766,0.0004260236,0.9331807,0.04510819,0.00004130622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.08270017,0.1549214,0.2052077,0.3795019,0.005730118,0.0002307954,0.001604972,0.0006390625,0.1694639],"genre_scores_gemma":[0.8873147,0.04769655,0.0461196,0.009625914,0.004524829,0.0001164975,0.0003838838,0.0001323492,0.004085769],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01892391,"threshold_uncertainty_score":0.1000804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2248651929318546,"score_gpt":0.3375692657989596,"score_spread":0.112704072867105,"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."}}