{"id":"W4232454143","doi":"10.1109/wsc.2018.8632288","title":"SIMULATING AN INTEGRATED REVENUE MANAGEMENT APPROACH IN A PRODUCTION SYSTEM WITH PRODUCT SUBSTITUTION","year":2018,"lang":"en","type":"article","venue":"2018 Winter Simulation Conference (WSC)","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université Laval","funders":"","keywords":"Revenue; Context (archaeology); Consumption (sociology); Revenue management; Product (mathematics); Production (economics); Substitution (logic); Demand management; Computer science; New product development; Time horizon; Business; Industrial organization; Operations research; Marketing; Economics; Microeconomics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006996039,0.0003104494,0.0002606962,0.0005651079,0.0002294794,0.0003980398,0.0003006661,0.00006683685,0.0001161882],"category_scores_gemma":[0.00004949292,0.000268974,0.00004198485,0.0008315366,0.0001451516,0.002169655,0.0001205403,0.0001608905,0.000208306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002156573,"about_ca_system_score_gemma":0.00003265253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002742292,"about_ca_topic_score_gemma":0.0003655051,"domain_scores_codex":[0.997903,0.00006054927,0.000478343,0.000792223,0.0003871176,0.0003787802],"domain_scores_gemma":[0.9986286,0.00001161725,0.000304353,0.0005722191,0.0004583443,0.00002489715],"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":[0.002041611,0.001737685,0.08720567,0.004008689,0.0003546896,0.00006628552,0.003798183,0.6824471,0.0006486083,0.08379647,0.003824164,0.1300708],"study_design_scores_gemma":[0.0009950182,0.00007492287,0.01404087,0.0006152529,0.00006388737,0.000002440404,0.002317983,0.9507226,0.00006084954,0.0001731989,0.03047356,0.0004594478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7663569,0.00002018937,0.1752966,0.0003357427,0.002001887,0.003069326,0.000005383605,0.0006552024,0.05225868],"genre_scores_gemma":[0.9952257,8.676395e-7,0.001424106,0.0002039521,0.001541893,0.00009382305,0.000150474,0.00003865385,0.001320584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2682755,"threshold_uncertainty_score":0.9999762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04812074265609921,"score_gpt":0.2543051793261292,"score_spread":0.2061844366700299,"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."}}