{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007815564,0.0006148645,0.0007616505,0.0005769892,0.0005633614,0.00126689,0.001334356,0.001502445,0.005241392],"category_scores_gemma":[0.002183207,0.0005103248,0.0008770357,0.001117246,0.0007639472,0.0009165407,0.0007602525,0.00100569,0.0002328348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002284083,"about_ca_system_score_gemma":0.001971242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04080615,"about_ca_topic_score_gemma":0.02221081,"domain_scores_codex":[0.999575,0.0001670063,0.00002247357,0.00006485701,0.00005158439,0.0001190252],"domain_scores_gemma":[0.9983547,0.00108479,0.0001663267,0.0001098027,0.0001470321,0.0001373104],"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":[0.00003543649,0.0000366258,0.0005902175,0.000009450836,0.000006297506,0.00003166882,0.00001996895,0.9970558,0.0001526114,0.001272005,0.00005115324,0.0007388573],"study_design_scores_gemma":[0.00001462171,0.00003448991,0.0002492097,0.000002321926,0.000005823286,0.000005705341,0.00002425472,0.9989595,0.0001130188,0.0004656375,0.0001215844,0.000003796302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415851,0.0001721147,0.04333119,0.0002952616,0.00003023802,0.0001264776,0.000645109,0.0001657432,0.0136488],"genre_scores_gemma":[0.9890667,0.00009286397,0.008328327,0.00002832848,0.000004439343,0.00005682429,0.0001978636,0.00001765489,0.002206991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04080615,"threshold_uncertainty_score":0.08113724,"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."}}