{"id":"W2144939537","doi":"10.5555/2431518.2431841","title":"RMSIM: a Java library for simulating revenue management systems","year":2011,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Java; Computer science; Flexibility (engineering); Revenue; Process (computing); Revenue management; Event (particle physics); Control (management); Extensibility; Software engineering; Distributed computing; Operations research; Operating system; Finance; Engineering; Business; Artificial intelligence","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":[0.001501967,0.001138586,0.0008728888,0.0008457619,0.0004621155,0.001284149,0.003908949,0.00132695,0.01115582],"category_scores_gemma":[0.003894823,0.0009703347,0.001337967,0.0006266879,0.0005678856,0.001469263,0.001233545,0.001936968,0.002742264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007092519,"about_ca_system_score_gemma":0.001276872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005693396,"about_ca_topic_score_gemma":0.00579068,"domain_scores_codex":[0.9993724,0.0001452271,0.00007560899,0.00009004696,0.0002395911,0.00007712467],"domain_scores_gemma":[0.9982724,0.0009770542,0.0001656249,0.0002249871,0.0002496134,0.0001102658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006033638,0.0007303154,0.007874434,0.001609693,0.0003856348,0.0006344421,0.0006056594,0.7259363,0.02087644,0.03701909,0.05716332,0.1465613],"study_design_scores_gemma":[0.0001889413,0.00006880221,0.000786995,0.00006162282,0.00005390458,0.0001297191,0.00002585825,0.9389337,0.009250126,0.006470243,0.04397329,0.00005677425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.008878144,0.0001303012,0.8965851,0.0001382181,0.0001028974,0.0002945932,0.002661277,0.08534695,0.005862509],"genre_scores_gemma":[0.180886,0.0008769514,0.7658985,0.0004758824,0.0001126634,0.00208969,0.01004248,0.02769215,0.01192566],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01115582,"threshold_uncertainty_score":0.0373199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04666753649253422,"score_gpt":0.2224224003421699,"score_spread":0.1757548638496357,"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."}}