{"id":"W3002878699","doi":"10.1287/mnsc.2023.4771","title":"Pricing for the Stars: Dynamic Pricing in the Presence of Rating Systems","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Dynamic pricing; Pricing strategies; Microeconomics; Economics; Quality (philosophy); Value (mathematics); Product (mathematics); Sensitivity (control systems); Willingness to pay; Marketing; Business; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006047107,0.0001278865,0.0001370234,0.0005280814,0.0006299655,0.0005628435,0.001275855,0.00001587143,0.000006766084],"category_scores_gemma":[0.0003327782,0.00007888277,0.000048781,0.003938667,0.0001931179,0.0008224255,0.0005126467,0.00009930538,0.00001515275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003327141,"about_ca_system_score_gemma":0.00001525926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005422355,"about_ca_topic_score_gemma":0.0001013417,"domain_scores_codex":[0.9981651,0.00002090607,0.0003430337,0.0003432175,0.000667154,0.0004606384],"domain_scores_gemma":[0.9985819,0.0006695313,0.000215765,0.0004606391,0.00006596863,0.000006154579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001301027,0.0002673047,0.2756601,0.006324614,0.0001018747,0.00008747024,0.007696117,0.07135824,0.01252719,0.1314842,0.004630913,0.4897319],"study_design_scores_gemma":[0.0003722422,0.000009306017,0.289339,0.0003005862,0.00008779697,0.000001022719,0.015335,0.6836295,0.00002291502,0.0004526704,0.0102336,0.0002163745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646994,0.0002436897,0.01137913,0.001477269,0.001326729,0.003401204,0.000001830483,0.0001816858,0.01728908],"genre_scores_gemma":[0.9991409,0.00003662196,0.0001203423,0.0001918528,0.00006331871,0.0001742216,0.00000215455,0.00001073252,0.0002598564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6122713,"threshold_uncertainty_score":0.5427513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02889872849909521,"score_gpt":0.2763557103311948,"score_spread":0.2474569818320996,"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."}}