{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002978761,0.0008923332,0.001786616,0.0005994264,0.000941377,0.00412139,0.002220387,0.003474093,0.01714283],"category_scores_gemma":[0.02047613,0.0008438681,0.001308331,0.0008196248,0.001569007,0.005603,0.001537302,0.003098971,0.001316921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002011484,"about_ca_system_score_gemma":0.001216243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004714466,"about_ca_topic_score_gemma":0.003694592,"domain_scores_codex":[0.9978593,0.0008580735,0.00008858653,0.0005827945,0.0002841224,0.0003269739],"domain_scores_gemma":[0.9890473,0.00682288,0.001923627,0.0006872681,0.0007114179,0.0008074905],"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":[0.0007586846,0.0006346085,0.01324144,0.0004931794,0.0002455355,0.001832221,0.0006265042,0.2899307,0.01160272,0.6140677,0.01283173,0.05373493],"study_design_scores_gemma":[0.0001346189,0.0002622617,0.005117816,0.00004207001,0.0001277662,0.0004143724,0.0001535521,0.8417636,0.0009425241,0.14755,0.003394452,0.00009690689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3239299,0.001393025,0.5895151,0.005222674,0.0003429613,0.0004383865,0.001229141,0.0004665496,0.07746228],"genre_scores_gemma":[0.9693402,0.0004017998,0.01778208,0.000193102,0.0001579965,0.0001018133,0.0001537882,0.00005531229,0.01181396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01714283,"threshold_uncertainty_score":0.05734849,"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."}}