{"id":"W2165859768","doi":"10.1287/ijoc.1110.0488","title":"Assessing the Value of Dynamic Pricing in Network Revenue Management","year":2011,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Dynamic pricing; Mathematical optimization; Revenue management; Computer science; Revenue; Upper and lower bounds; Decomposition; Operations research; Mathematics; Economics; Microeconomics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002164379,0.0001715111,0.0002155611,0.000363455,0.000320437,0.0003316933,0.0004977005,0.00003807319,0.00005761822],"category_scores_gemma":[0.00004301986,0.0001181581,0.0001112585,0.0006330517,0.0000433979,0.001035164,0.0003202895,0.0003784383,0.00003836916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009899584,"about_ca_system_score_gemma":0.00001244539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007125828,"about_ca_topic_score_gemma":0.00001049414,"domain_scores_codex":[0.9983585,0.00002212775,0.0006992007,0.0001429424,0.0003680946,0.000409107],"domain_scores_gemma":[0.9989253,0.00005474513,0.0007163068,0.0002260395,0.00006374992,0.00001385301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001197906,0.000359196,0.09478959,0.0008082095,0.0003234344,0.00035783,0.002384485,0.1024872,0.00002344707,0.2583976,0.006390017,0.5335591],"study_design_scores_gemma":[0.002080587,0.00008143092,0.5663168,0.003582801,0.0001245584,0.00004448524,0.006134467,0.3437995,0.00001953711,0.03510368,0.04201574,0.0006963576],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8406498,0.0001458574,0.007502313,0.0003232611,0.002064052,0.0004313076,2.01646e-7,0.00005086104,0.1488324],"genre_scores_gemma":[0.9952722,0.00002152142,0.001853005,0.002113264,0.0006183852,0.000002100979,0.000001396088,0.00001998851,0.00009819486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5328628,"threshold_uncertainty_score":0.4818348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911875917340592,"score_gpt":0.2606838341522386,"score_spread":0.2315650749788327,"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."}}