{"id":"W2556744360","doi":"","title":"Classifying Customers According to NPS Index: Cluster Analysis for Contact Center Services","year":2015,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Center (category theory); Index (typography); Business; Operations management; Computer science; Engineering; Chemistry; World Wide Web; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001775207,0.0005430807,0.000882191,0.004504412,0.001261834,0.001950595,0.0009945722,0.0004712977,0.002892267],"category_scores_gemma":[0.005277788,0.0001482309,0.001132499,0.004547396,0.000383458,0.0006343537,0.001082006,0.0006431681,0.0007888908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388567,"about_ca_system_score_gemma":0.002103163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02711108,"about_ca_topic_score_gemma":0.02000901,"domain_scores_codex":[0.9986928,0.0002704242,0.0001259909,0.0001943343,0.0004875404,0.0002289421],"domain_scores_gemma":[0.9974797,0.0006880827,0.0001998538,0.0002365881,0.00115153,0.0002441722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001802075,0.001190814,0.7208882,0.0001967427,0.0005975571,0.0001521843,0.002001116,0.008487425,0.006679423,0.002430506,0.01305842,0.2425156],"study_design_scores_gemma":[0.00007835998,0.0006258056,0.8091236,0.0000500785,0.0004222093,0.0001996794,0.005393832,0.1718013,0.004112457,0.002769724,0.005325184,0.00009772987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792109,0.0001590511,0.01531923,0.0001803316,0.00003541191,0.0002744717,0.002070698,0.0002684879,0.002481471],"genre_scores_gemma":[0.977556,0.00006922567,0.0168146,0.00001602739,0.00002376777,0.0001694615,0.003727011,0.00005188107,0.001571945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02711108,"threshold_uncertainty_score":0.05390656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04424717428166485,"score_gpt":0.2762403517877119,"score_spread":0.2319931775060471,"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."}}