{"id":"W3163970084","doi":"10.1177/19389655211014470","title":"Field Experiments for Testing Revenue Strategies in the Hospitality Industry","year":2021,"lang":"en","type":"article","venue":"Cornell Hospitality Quarterly","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Revenue management; Marketing; Revenue; Exploit; Hospitality; Hospitality industry; Business; Field (mathematics); Competitive advantage; Conversation; Product (mathematics); Revenue model; New product development; Computer science; Tourism; Finance; Sociology","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":[0.01580357,0.0008319253,0.000506953,0.0009027795,0.001487394,0.001218117,0.001897538,0.001649152,0.007833888],"category_scores_gemma":[0.02161186,0.000535477,0.0008388162,0.0008331918,0.002014073,0.001671712,0.001301185,0.002735427,0.0007826762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530608,"about_ca_system_score_gemma":0.001574857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00123094,"about_ca_topic_score_gemma":0.001518974,"domain_scores_codex":[0.9903547,0.006704001,0.0004893702,0.000687321,0.001132962,0.0006316177],"domain_scores_gemma":[0.9459383,0.04224206,0.003896144,0.004184699,0.002470533,0.001268296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.03096809,0.2122921,0.09937631,0.004660513,0.0009020998,0.001486173,0.01697378,0.04943968,0.1476409,0.1360387,0.01980481,0.2804169],"study_design_scores_gemma":[0.01244084,0.4778226,0.1004685,0.001868575,0.0008681114,0.0006641724,0.01548291,0.07216531,0.1276027,0.07172783,0.1181576,0.0007308119],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214689,0.0003044815,0.03781982,0.0006291789,0.0002625749,0.01032119,0.0005555207,0.0002449931,0.02839331],"genre_scores_gemma":[0.8912839,0.0004267571,0.08130461,0.0009406585,0.0001362066,0.01599879,0.000485286,0.00009779786,0.009326011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01580357,"threshold_uncertainty_score":0.08357829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05739295899739161,"score_gpt":0.2890181882171824,"score_spread":0.2316252292197908,"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."}}