{"id":"W3116690882","doi":"10.2139/ssrn.3422404","title":"Customer Acquisition and Retention: A Fluid Approach for Staffing","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Staffing; Customer retention; Business; Employee retention; Operations management; Marketing; Engineering; Management; Economics; Service (business); Service quality","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":[0.01002045,0.002088128,0.003070986,0.004001523,0.002280499,0.005765613,0.0069153,0.003620445,0.008036619],"category_scores_gemma":[0.02993922,0.001859734,0.002994568,0.003801636,0.00536028,0.008919402,0.004970561,0.005434201,0.0008996538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005794335,"about_ca_system_score_gemma":0.005927432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009331447,"about_ca_topic_score_gemma":0.006585868,"domain_scores_codex":[0.9928126,0.00262089,0.0002595624,0.001106434,0.002005048,0.001195497],"domain_scores_gemma":[0.987752,0.007499414,0.001074312,0.0007747213,0.001912005,0.0009875225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004765034,0.0001138281,0.0008250972,0.0001102173,0.00006047615,0.0001186124,0.0004614244,0.3815204,0.0005269308,0.5926778,0.00210625,0.02143135],"study_design_scores_gemma":[0.0000082863,0.0000594372,0.0002614199,0.00003338599,0.00003066812,0.00003754095,0.0001147212,0.8175393,0.0001646326,0.1803278,0.001375777,0.00004712954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0105291,0.0003996528,0.9819717,0.0009618568,0.0001993242,0.00009772816,0.0000857784,0.000119124,0.005635803],"genre_scores_gemma":[0.7596942,0.001799289,0.1966588,0.0008194608,0.001212689,0.0007007128,0.0001765503,0.0002974336,0.03864086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01002045,"threshold_uncertainty_score":0.05299383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007889318927239009,"score_gpt":0.2160795866685009,"score_spread":0.2081902677412619,"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."}}