{"id":"W4386431490","doi":"10.1007/978-3-031-39626-7_11","title":"Business Intelligence","year":2023,"lang":"en","type":"book-chapter","venue":"EAI/Springer Innovations in Communication and Computing","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Canada West","funders":"","keywords":"Business intelligence; Data science; Analytics; Computer science; Data warehouse; Business analytics; Knowledge management; Context (archaeology); Big data; Process management; Business; Business model; Electronic business; Marketing; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000713737,0.0002674794,0.0003191894,0.0005999214,0.0003605768,0.0001430122,0.0009756644,0.0001579471,0.000009950199],"category_scores_gemma":[0.000129596,0.0002980744,0.00003317684,0.0008095989,0.0001411964,0.0004147904,0.002006728,0.0005998956,0.00007581725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007366234,"about_ca_system_score_gemma":0.00009364064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006069201,"about_ca_topic_score_gemma":0.0001084153,"domain_scores_codex":[0.9982482,0.00004145781,0.0007848897,0.000473598,0.0002320138,0.0002199093],"domain_scores_gemma":[0.9971431,0.0003410225,0.0004183234,0.001642721,0.0004173137,0.00003755688],"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":[7.105276e-7,0.000008011028,0.00005292492,0.00003822715,0.00001003423,0.000003180324,0.0003165445,0.0002959293,0.000005644834,0.9039366,0.0001370727,0.09519512],"study_design_scores_gemma":[0.0003890945,0.00003420141,0.005869212,0.004255372,0.00001534943,0.00006076123,0.0002915843,0.0801181,0.00006399981,0.2026845,0.7044565,0.001761336],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008076414,0.0007711168,0.8754266,0.001259196,0.0003947374,0.0002713922,0.000009335403,0.0004126505,0.1213742],"genre_scores_gemma":[0.08122287,0.004366173,0.7443776,0.001161304,0.0003666911,0.0000801272,0.0004277901,0.000215893,0.1677816],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7043194,"threshold_uncertainty_score":0.9999471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05796044596972088,"score_gpt":0.2932789813369785,"score_spread":0.2353185353672576,"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."}}