{"id":"W1564286721","doi":"10.1108/00251741211266697","title":"Assessing customer retention strategies in mobile telecommunications","year":2012,"lang":"en","type":"article","venue":"Management Decision","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Customer retention; Marketing; Mobile phone; Service quality; Customer satisfaction; Competitor analysis; Service (business); Telecommunications; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003883493,0.0004234106,0.0003883631,0.003546926,0.001185405,0.001812032,0.0007789584,0.0005217924,0.001150227],"category_scores_gemma":[0.009686835,0.0001364398,0.0004066718,0.002847705,0.0005364328,0.0006604534,0.0007626372,0.0003636722,0.0001368994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004710502,"about_ca_system_score_gemma":0.006577095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1583624,"about_ca_topic_score_gemma":0.2439809,"domain_scores_codex":[0.996978,0.000690326,0.0001296039,0.0001143558,0.001770037,0.0003177818],"domain_scores_gemma":[0.9907589,0.002820468,0.001450193,0.00009719803,0.004420417,0.0004527158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004695146,0.000873736,0.5758048,0.001380431,0.0002919596,0.0002759757,0.00836616,0.006077242,0.003886756,0.001526422,0.001353336,0.3996937],"study_design_scores_gemma":[0.00004515001,0.004379845,0.9202079,0.0006810336,0.0004174876,0.0003423963,0.03893783,0.02327482,0.005396864,0.001070742,0.005109712,0.0001362755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893071,0.000842056,0.001948977,0.0001407272,0.000006884495,0.0003603746,0.000153177,0.00001931976,0.007221384],"genre_scores_gemma":[0.9965549,0.0003385548,0.002240228,0.00003868141,0.000002768466,0.00009323275,0.0001009196,0.000001751537,0.0006290918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1583624,"threshold_uncertainty_score":0.3148812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05485936267405634,"score_gpt":0.3290143047760513,"score_spread":0.2741549421019949,"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."}}