{"id":"W3116025060","doi":"10.2139/ssrn.3673903","title":"Business Analytics in Service Operations","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":"Analytics; Business analytics; Business; Service (business); Business intelligence; Computer science; Process management; Data science; Knowledge management; Business analysis; Marketing; Business model","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":[0.003805566,0.0006998969,0.0006942526,0.005006962,0.001817285,0.01504979,0.0006706166,0.002105188,0.01572341],"category_scores_gemma":[0.008422713,0.0004187905,0.0004030101,0.007990395,0.004419301,0.0194013,0.002837378,0.002824166,0.005674071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002916558,"about_ca_system_score_gemma":0.003426409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003630934,"about_ca_topic_score_gemma":0.002592643,"domain_scores_codex":[0.9973344,0.001244199,0.0001439727,0.0002429505,0.00084633,0.0001881563],"domain_scores_gemma":[0.9946539,0.002995853,0.0003597272,0.0005864091,0.0009421078,0.0004620136],"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":[0.00002254144,0.00003768445,0.001427886,0.0001890034,0.00001325866,0.00006919567,0.0009353335,0.0004959701,0.0001957274,0.8366557,0.04607543,0.1138823],"study_design_scores_gemma":[0.000006858083,0.00001836127,0.001730972,0.0005043069,0.00001604684,0.0001402745,0.00238107,0.003910908,0.0004408461,0.6760616,0.3147715,0.00001726124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02099229,0.06724638,0.1035004,0.1365823,0.005430734,0.0001217547,0.0008427363,0.001168222,0.6641152],"genre_scores_gemma":[0.7240975,0.06489891,0.04455078,0.01089222,0.008164108,0.0002100413,0.001298221,0.0006053104,0.1452828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01572341,"threshold_uncertainty_score":0.05260003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0515522856784073,"score_gpt":0.2705976431338495,"score_spread":0.2190453574554422,"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."}}