{"id":"W2043936000","doi":"10.1016/j.ejor.2008.03.005","title":"Dynamic pricing of multiple home delivery options","year":2008,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Markov decision process; Order (exchange); Revenue management; Dynamic pricing; Business; Time horizon; Stochastic game; Computer science; Process (computing); Holding cost; Microeconomics; Markov process; Operations research; Marketing; Economics; Operations management; Revenue; Finance","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":[0.001205288,0.0004911578,0.0009796564,0.0006292756,0.0005072823,0.002602217,0.001535187,0.001215518,0.01235793],"category_scores_gemma":[0.004286612,0.0005191232,0.0006803556,0.0008460601,0.0007575225,0.002926891,0.0009090647,0.001209491,0.0004613122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552575,"about_ca_system_score_gemma":0.0004142924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001390788,"about_ca_topic_score_gemma":0.001066824,"domain_scores_codex":[0.9993662,0.0002658576,0.00001724807,0.00006453611,0.0001277754,0.0001582335],"domain_scores_gemma":[0.998602,0.0009055574,0.00009600218,0.000119794,0.0001110827,0.0001656385],"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":[0.001578515,0.0004339451,0.002196282,0.00008850635,0.00008218273,0.001134939,0.0001863989,0.7206608,0.005025203,0.1890682,0.00405794,0.07548711],"study_design_scores_gemma":[0.00005030539,0.0001057312,0.0006515494,0.00000742689,0.00002206052,0.0001398613,0.00006181775,0.9702381,0.0005730172,0.02714065,0.0009911879,0.00001832851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7395509,0.0009739971,0.2140134,0.001298795,0.0002547563,0.0000863846,0.0002346655,0.0003209671,0.04326623],"genre_scores_gemma":[0.9909394,0.00009779206,0.003496322,0.00001488882,0.00003044323,0.000009572337,0.00003201743,0.00001813018,0.005361541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01235793,"threshold_uncertainty_score":0.04134136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09327877656522843,"score_gpt":0.3029304513230756,"score_spread":0.2096516747578472,"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."}}