{"id":"W777397924","doi":"","title":"Building Customer Loyalty: Ten Principles for Designing an Effective Customer Reward Program","year":2010,"lang":"en","type":"article","venue":"Cornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University)","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Killam Trusts","keywords":"Loyalty program; Competitor analysis; Loyalty; Marketing; Loyalty business model; Incentive; Business; Competition (biology); Hospitality industry; Key (lock); Hospitality; Best practice; Customer retention; Computer science; Service (business); Economics; Management; Tourism; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006826697,0.0003745489,0.0004338849,0.000465105,0.0002530336,0.000361931,0.0004464755,0.0002484665,0.0001382964],"category_scores_gemma":[0.0001436211,0.0003913554,0.0001764927,0.0005580747,0.0001684323,0.001754403,0.0001473078,0.0004095742,0.00008279923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004026253,"about_ca_system_score_gemma":0.00008860353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001172001,"about_ca_topic_score_gemma":0.0007161233,"domain_scores_codex":[0.9981073,0.00005579654,0.0004385206,0.0007464802,0.000199282,0.0004526185],"domain_scores_gemma":[0.9983037,0.0001646937,0.0004718415,0.0004546547,0.0004624955,0.0001426738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003271281,0.001434984,0.9538589,0.002011936,0.0003161225,0.0001317387,0.0003631634,0.0005096911,0.02775192,0.004783832,0.0005517821,0.005014701],"study_design_scores_gemma":[0.003324157,0.0006089474,0.9787002,0.0001158981,0.0005501726,0.00001994092,0.0009550663,0.001568681,0.003531751,0.002285043,0.007265256,0.001074881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852175,0.00001661424,0.006651099,0.000004061146,0.0003350106,0.001237775,0.00001964586,0.0002332468,0.006285019],"genre_scores_gemma":[0.9954822,0.000006041957,0.003265356,0.0002454541,0.0005476617,0.00002022029,0.00007289831,0.00004562386,0.0003145296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02484136,"threshold_uncertainty_score":0.9998538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03982898478074998,"score_gpt":0.2543107292214586,"score_spread":0.2144817444407087,"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."}}