{"id":"W3165863228","doi":"10.2139/ssrn.3656336","title":"Service Data Analytics and Business Intelligence","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business intelligence; Business analytics; Analytics; Data science; Computer science; Service (business); Business; Knowledge management; Business analysis; 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":[0.002151604,0.0005610599,0.000864724,0.004434018,0.0008980078,0.01055314,0.0004778379,0.001732002,0.01207788],"category_scores_gemma":[0.006237164,0.0002949071,0.0003986998,0.008772071,0.003971606,0.01250877,0.002067036,0.001944229,0.003926962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002538498,"about_ca_system_score_gemma":0.002375454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002706184,"about_ca_topic_score_gemma":0.001748953,"domain_scores_codex":[0.9985434,0.0004534182,0.00009476665,0.0001538175,0.0006640573,0.00009058588],"domain_scores_gemma":[0.9962997,0.00216766,0.0002686074,0.0005169057,0.000510224,0.0002368574],"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":[0.00002586473,0.00002470606,0.001011889,0.0001537418,0.00001843669,0.00003955116,0.0002530069,0.000660075,0.0002209402,0.8857881,0.03556415,0.07623947],"study_design_scores_gemma":[0.000004696546,0.00000855415,0.0004303012,0.0001207099,0.000009075571,0.00006058005,0.0004164102,0.003979814,0.000263158,0.8697619,0.1249367,0.000008056338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02547649,0.08920597,0.1708029,0.1665569,0.005916197,0.000124724,0.002538792,0.001786677,0.5375913],"genre_scores_gemma":[0.7338353,0.09044938,0.05435992,0.01007848,0.01000929,0.00016554,0.003318421,0.0005694641,0.09721421],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01207788,"threshold_uncertainty_score":0.0404045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103963222484809,"score_gpt":0.2925003941271361,"score_spread":0.1821040718786552,"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."}}