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Record W4252228566 · doi:10.1287/inte.1110.0581

Contributors

2011· article· en· W4252228566 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueINFORMS Journal on Applied Analytics · 2011
Typearticle
Languageen
FieldDecision Sciences
TopicSimulation Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceBusiness

Abstract

fetched live from OpenAlex

Dionne M. Aleman (“ A Nonhomogeneous Agent-Based Simulation Approach to Modeling the Spread of Disease in a Pandemic Outbreak ”) is an assistant professor in the Department of Mechanical and Industrial Engineering at the University of Toronto. She received her PhD in industrial and systems engineering from the University of Florida in Gainesville. Her research interests are medical applications of operations research, specifically pandemic outbreak planning and radiotherapy treatment optimization. She directs the Medical Operations Research Lab (morLAB) at the University of Toronto and is President of the INFORMS Junior Faculty Group and the Secretary/Treasurer of the INFORMS Section on Public Programs and Service Needs. Previously she chaired the INFORMS Health Applications Section. Margaret L. Brandeau (“ Doing Good with Good OR: Supporting Cost-Effective Hepatitis B Interventions ”) is professor of management science and engineering and professor (by courtesy) of medicine at Stanford University. She is a Fellow of INFORMS and has been a recipient of the President's Award from INFORMS (for contributions to the welfare of society), the Pierskalla Prize (for research excellence in health-care management science) from INFORMS, the Best Paper Award from the Society for Computer Simulation, a Presidential Young Investigator Award from the National Science Foundation, the Graduate Teaching Award from the Department of Management Science and Engineering at Stanford, and the Eugene L. Grant Teaching Award from the Industrial Engineering Department at Stanford. Greta Spitz Densham (“ Optimizing Schedules for Maritime Humanitarian Cooperative Engagements from a United States Navy Sea Base ”) is a surface warfare officer in the United States Navy. She earned her MS in OR from the Naval Postgraduate School in Monterey, California. She serves as the operations officer at Destroyer Squadron 24 in Mayport, Florida. Previously, she served on USS DOYLE (FFG 39) and USS LASSEN (DDG 82) and as an associate fellow for CNO Strategic Studies Group XXV. Her experience in operational tours to South and Central America and Baltic Sea nations coordinating theater security cooperation efforts provided real-world insight to the complexities of scheduling activities between the US Navy and foreign nations. Guillermo Durán (“ Quantitative Methods for a New Configuration of Territorial Units in a Chilean Government Agency Tender Process ” and “ A Mathematical Programming Approach to Applicant Selection for a Degree Program Based on Affirmative Action ”) is adjunct professor at the Industrial Engineering Department of the University of Chile and at the Mathematics Department of the University of Buenos Aires, Argentina. He has a PhD in computer science from the University of Buenos Aires. His main research areas are operations research and graph theory. He has published several scientific articles in the primary international journals on operations research, combinatorial optimization, and graph theory. Serhan Duran (“ Pre-Positioning of Emergency Items for CARE International ”) is an assistant professor in the Industrial Engineering Department of the Middle East Technical University and received his BS degree from the same department in 2002. He holds two master's degrees and a PhD from the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. During his PhD studies he worked as an operations research analyst on logistics projects for both for-profit and nonprofit organizations. He has taught courses on revenue management, financial accounting, and engineering economy at the Middle East Technical University. His research interests include operations research applications in humanitarian logistics and demand management. Rafael Epstein (“ Quantitative Methods for a New Configuration of Territorial Units in a Chilean Government Agency Tender Process ”) is associate professor at the Industrial Engineering Department of the University of Chile. He has a PhD in OR from MIT. His main research areas are optimization of logistics operations in forestry, long-term planning in the mining industry, and the design and optimization of large public auctions. He is a recipient of the Franz Edelman Award, the OR for Development Award, and the Chilean Innovation Award. Mauro Falasca (“ Helping a Small Development Organization Manage Volunteers More Efficiently ”) is an assistant professor in the Department of Marketing and Supply Chain Management at East Carolina University. He received his PhD in operations management and decision support systems from Virginia Tech. His primary research interests focus on the areas of disaster operations management and spreadsheet decision modeling. He is a member of the Decision Sciences Institute (DSI), the Institute for Operations Research and the Management Sciences (INFORMS), and the International Community on Information Systems for Crisis Response and Management (ISCRAM). Marco A. Gutierrez (“ Pre-Positioning of Emergency Items for CARE International ”) received an MS in industrial and systems engineering and an MBA in operations and supply chain management from Georgia Institute of Technology. He is a PhD candidate in industrial and systems engineering at Georgia Tech and recently joined the management consulting firm A T. Kearney. During his PhD studies he conducted research in humanitarian logistics with Pinar Keskinocak and John H. Vande Vate. His research focused mainly on humanitarian supply chain planning and execution. His main contribution was working with CARE USA in an extended internship to start transforming its logistics practices and organization, part of which is presented in this paper. David W. Hutton (“ Doing Good with Good OR: Supporting Cost-Effective Hepatitis B Interventions ”) is a professor of health management and policy at the University of Michigan. He has a PhD from Stanford University's Management Science and Engineering Department. His research focuses on health policy cost-effectiveness analysis and medical decision making. He won the first prize in the 2009 INFORMS “Doing Good with Good OR” student paper competition. Pinar Keskinocak (“ Pre-Positioning of Emergency Items for CARE International ”) is the Mary Anne and Harold R. Nash Professor in the School of Industrial and Systems Engineering and the cofounder and codirector of the Center for Humanitarian Logistics at Georgia Institute of Technology. She also serves as the associate director for research at the Health Systems Institute at Georgia Tech. Her research focuses on applications of operations research and management science with societal impact (particularly health and humanitarian applications), supply chain management, pricing and revenue management, and logistics/transportation. She has worked on projects in several industries including automotive, semiconductor, paper manufacturing, printing, health-care, hotels, and airlines. Her research has been published in journals such as Operations Research, Management Science, Manufacturing & Service Operations Management, Production and Operations Management, IIE Transactions, Naval Research Logistics, and Interfaces. Jeffrey Kline (“ Optimizing Schedules for Maritime Humanitarian Cooperative Engagements from a United States Navy Sea Base ”), Captain, United States Navy (retired), is a senior lecturer in the Operations Research Department and program director for Maritime Defense and Security Research Programs at the Naval Postgraduate School. He has over 26 years of extensive naval operational experience including commanding two US Navy ships. He is a 1992 graduate of the Naval Postgraduate School's Operations Research Program where he earned the Chief of Naval Operations Award for Excellence in Operations Research and 1997 distinguished graduate of the National War College. His NPS faculty awards include the 2009 American Institute of Aeronautics and Astronautics Homeland Security Award, 2007 Hamming Award for interdisciplinary research, 2007 Wayne E. Meyers Award for Excellence in Systems Engineering Research, and the 2005 Northrop Grumman Award for Excellence in Systems Engineering. Cristian Martinez (“ Quantitative Methods for a New Configuration of Territorial Units in a Chilean Government Agency Tender Process ”) has a master's degree in public administration from the University of Santiago (Chile). He was vice-minister of education between 2008 and 2010 and head of JUNEAB from 2005 to 2008. He has published several scientific articles in the field of public auctions, receiving the OR for Development Award as well as other international recognitions for his achievement in school feeding. Cliff Ragsdale (“ Helping a Small Development Organization Manage Volunteers More Efficiently ”) is the Bank of America Professor in the Department of Business Information Technology at Virginia Tech. He received his PhD in management science and information technology from the University of Georgia. His primary research interests focus on the areas of decision support systems, mathematical modeling, and optimization. He has published more than 40 scholarly articles, serves on the editorial boards of a number of academic journals, and is the author of the textbook Spreadsheet Modeling and Decision Analysis. Javier Salmerón (“ Optimizing Schedules for Maritime Humanitarian Cooperative Engagements from a United States Navy Sea Base ”) earned his PhD in mathematics from Universidad Politécnica of Madrid, Spain, in 1998, and is an associate professor in the Operations Research Department at the Naval Postgraduate School (NPS) in Monterey, California. His research focuses in the area of applied model

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.192
GPT teacher head0.388
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it