{"id":"W3205668638","doi":"10.1111/poms.13589","title":"Dynamic Pricing with Money‐Back Guarantees","year":2021,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Computer science; Asymptotically optimal algorithm; Mathematical optimization; Dynamic pricing; Product (mathematics); Key (lock); Economics; Mathematics; Microeconomics","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":[0.002434511,0.00109071,0.001529284,0.0004805922,0.0007414691,0.002831605,0.001444582,0.001930548,0.004526788],"category_scores_gemma":[0.01043417,0.0007801392,0.001004885,0.0006684102,0.00245863,0.003753302,0.001449316,0.002742119,0.0003453344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002349017,"about_ca_system_score_gemma":0.002175914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005564099,"about_ca_topic_score_gemma":0.00235915,"domain_scores_codex":[0.9982464,0.0006747117,0.00005689376,0.0002481015,0.0003745868,0.000399308],"domain_scores_gemma":[0.9962209,0.002544805,0.0004829131,0.0002007713,0.0002838504,0.0002669113],"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":[0.0001197637,0.00007545231,0.0003904625,0.00007298916,0.00002375711,0.0001916692,0.00006692767,0.8083466,0.0009587334,0.1821336,0.001114531,0.006505479],"study_design_scores_gemma":[0.00001973975,0.00002781679,0.0000859097,0.000007443374,0.000006362091,0.00002422647,0.00001922408,0.9672861,0.0001689632,0.03177315,0.0005703997,0.00001063655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1137494,0.001373011,0.8583209,0.002049228,0.0002676247,0.0001118602,0.0001677276,0.0002461433,0.02371423],"genre_scores_gemma":[0.9682898,0.0004340256,0.02425046,0.0001183484,0.00008264853,0.00006155763,0.00005021398,0.00004280236,0.006670175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005564099,"threshold_uncertainty_score":0.01704341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137957012964968,"score_gpt":0.2104599206325693,"score_spread":0.1990803505029196,"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."}}