{"id":"W2024390880","doi":"10.1057/rpm.2012.44","title":"Dynamic pricing for hotel revenue management using price multipliers","year":2012,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Alexandria University; McGill University","keywords":"Revenue management; Yield management; Revenue; Dynamic pricing; Demand management; Economics; Computer science; Operations research; Duration (music); Mathematical optimization; Econometrics; Microeconomics; Finance; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001882222,0.0002994674,0.0004093109,0.0007349958,0.0003232554,0.0001985063,0.0003506809,0.00006607352,0.00001885166],"category_scores_gemma":[0.00004812194,0.0002846112,0.0002026494,0.000472506,0.0000481488,0.001165241,0.0003453596,0.0001925448,0.00001719665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927367,"about_ca_system_score_gemma":0.000008112767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003289461,"about_ca_topic_score_gemma":0.000005092385,"domain_scores_codex":[0.9979504,0.00002830458,0.0006840545,0.0002685275,0.0004442938,0.0006244218],"domain_scores_gemma":[0.9985464,0.00005674052,0.0009236004,0.0002946215,0.0001177953,0.00006080138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001425757,0.002341602,0.0749741,0.02813459,0.005715201,0.0006089681,0.004223427,0.009013701,0.002831925,0.06245263,0.1757617,0.6325164],"study_design_scores_gemma":[0.003202357,0.0000842485,0.02637821,0.001390404,0.001440051,0.00004831787,0.002339886,0.008176974,0.00004530091,0.003596446,0.9525412,0.0007565616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450227,0.007240547,0.1198439,0.001838234,0.007396109,0.004073682,0.00002929047,0.000108034,0.01444748],"genre_scores_gemma":[0.967474,0.0008334388,0.02557809,0.001895954,0.001544572,0.00003570906,0.00000947222,0.00008549723,0.00254329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7767795,"threshold_uncertainty_score":0.9999606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242135908585213,"score_gpt":0.2563236868575222,"score_spread":0.2339023277716701,"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."}}