{"id":"W2528481833","doi":"","title":"Evaluating Loyalty Programs with Endogenous Redemption","year":2016,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loyalty; Business; Marketing; Economics","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":[0.009200785,0.0007164003,0.001016631,0.0008759078,0.0005131662,0.003050162,0.001716178,0.001879512,0.005461564],"category_scores_gemma":[0.04838957,0.0005741954,0.001120508,0.0014503,0.001257123,0.003636168,0.001855099,0.002930067,0.0004388508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005214251,"about_ca_system_score_gemma":0.002601174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02001015,"about_ca_topic_score_gemma":0.02020071,"domain_scores_codex":[0.9945368,0.00333588,0.0001689558,0.0006321777,0.0007087127,0.0006175851],"domain_scores_gemma":[0.9297724,0.05563177,0.008673979,0.002650395,0.002083695,0.001187673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002857049,0.004672933,0.2121571,0.0005312826,0.0007591191,0.0001244877,0.0006929219,0.6195835,0.001726768,0.05640812,0.002809956,0.09767678],"study_design_scores_gemma":[0.0002188124,0.002628875,0.06661899,0.00008813031,0.0003550402,0.0000255272,0.0005818123,0.9091592,0.002069407,0.0169679,0.0012011,0.0000852055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669275,0.0002246146,0.02362528,0.0005664891,0.00002504074,0.0002303371,0.0003112811,0.0001097212,0.007979777],"genre_scores_gemma":[0.9931892,0.0001061834,0.004675407,0.00006873232,0.00001319231,0.0001390176,0.0003037405,0.00001257089,0.001491932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02001015,"threshold_uncertainty_score":0.04865897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2324206643321602,"score_gpt":0.3358177941162152,"score_spread":0.103397129784055,"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."}}