Bibliographic record
Abstract
Rami Atar (“ The cμ/θ Rule for Many-Server Queues with Abandonment ”) is an associate professor in the Department of Electrical Engineering, Technion, Israel, where he received his Ph.D. in 1997. His research interests are in stochastic processes and their applications, including PDE techniques in stochastic control, and asymptotic analysis of queueing models. Achal Bassamboo (“ On the Accuracy of Fluid Models for Capacity Sizing in Queueing Systems with Impatient Customers ”) is an associate professor of managerial economics and decision sciences in the Kellogg School of Management at Northwestern University. His research focuses on using stochastic models to manage service operations, flexibility in service and production systems, and on strategic information sharing in services and retail. Tamer Boyacı (“ Information Acquisition for Capacity Planning via Pricing and Advance Selling: When to Stop and Act? ”) is an associate professor of operations management at McGill University's Desautels Faculty of Management. His research interests include supply chain management, closed-loop supply chains, and sustainable operations, as well as the operations-marketing interface. His research has appeared in academic journals including Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, IIE Transactions, and Naval Research Logistics. Huseyin Cavusoglu (“ An Analysis of the Impact of Passenger Profiling for Transportation Security ”) is an assistant professor of information systems and operations management at the School of Management at the University of Texas at Dallas, where he received his Ph.D. in management science. He has published in various journals including Management Science, Information Systems Research, INFORMS Journal on Computing, Decision Analysis, IEEE Transactions on Software Engineering, IEEE Transactions on Engineering Management, Communications of the ACM, and the International Journal of Electronic Commerce. His major research interests include assessment of the value of IT security and design of IT security architecture. Cristiano Cervellera (“ Functional Optimization Through Semilocal Approximate Minimization ”) received the M.Sc. degree in electronic engineering from the University of Genoa, Italy, in 1998, and the Ph.D. degree in electronic engineering and computer science in 2002. Since 2002 he has been a researcher at the Genoa branch of the Institute of Intelligent Systems for Automation of the Italian National Research Council. His research interests include number-theoretic methods for optimization, optimal control, neural networks, and machine learning. He is particularly interested in the development of efficient algorithms for the approximate solution of nonlinear optimization problems. William Chung (“ Subproblem Approximation in Dantzig-Wolfe Decomposition of Variational Inequality Models with an Application to a Multicommodity Economic Equilibrium Model ”) received a B.Eng. degree in industrial engineering from Ryerson University in Toronto, Ontario, Canada, a master's of applied science, and a Ph.D. in management sciences from the University of Waterloo in Waterloo, Ontario, Canada. He is an associate professor in the Department of Management Sciences, City University of Hong Kong. His current research interests are in enhancing modeling methods and solution techniques for large-scale mathematical programming models. Yu Ding (“ A Computable Plug-In Estimator of Minimum Volume Sets for Novelty Detection ”) is an associate professor in the Department of Industrial and Systems Engineering at Texas A&M University. He received his Ph.D. in mechanical engineering from the University of Michigan in 2001. His research interests include systems informatics, machine learning, and quality and reliability engineering. He is a member of INFORMS. Jörn Dunkel (“ Stochastic Root Finding and Efficient Estimation of Convex Risk Measures ”) is a postdoctoral research assistant at the Rudolf Peierls Centre for Theoretical Physics and Junior Research Fellow of Mansfield College at the University of Oxford. He received his Ph.D. from the University of Augsburg and holds an M.Sc. in mathematics and an M.Sc. in physics, both from Humboldt-Universität zu Berlin. His current research interests include stochastic finance (credit risk models, Monte Carlo methods), biophysics (bacterial motility), nonequilibrium systems (active nematics), and relativistic stochastic processes. Gadi Fibich (“ Aggregate Diffusion Dynamics in Agent-Based Models with a Spatial Structure ”) is a professor of applied mathematics at Tel Aviv University. He received his Ph.D. in 1994 from New York University. His research interests include mathematical modeling in economics and management sciences. J. David Fuller (“ Subproblem Approximation in Dantzig-Wolfe Decomposition of Variational Inequality Models with an Application to a Multicommodity Economic Equilibrium Model ”) is a professor in the Department of Management Sciences, Faculty of Engineering, University of Waterloo, in Waterloo, Ontario, Canada. He obtained a B.Sc. in mathematics from Queen's University in Kingston, Ontario, in 1973, an M.Sc. in applied mathematics from the University of British Columbia, in Vancouver in 1975, and a Ph.D. in interdisciplinary studies from the University of British Columbia in 1980. His main research interests are in models of energy markets, and algorithms for their solution. Vishal Gaur (“ Assortment Planning and Inventory Decisions Under Stockout-Based Substitution ”) is an associate professor of operations management at the Johnson Graduate School of Management at Cornell University. His research interests include retail operations and problems on the interface of operations and finance. Chanit Giat (“ The cμ/θ Rule for Many-Server Queues with Abandonment ”) is a Ph.D. student in the Department of Electrical Engineering, Technion, Israel. Her research interests are in stochastic processes, and asymptotic analysis and control of queueing systems. Ro'i Gibori (“ Aggregate Diffusion Dynamics in Agent-Based Models with a Spatial Structure ”) works in the IT and financial services industries. He received his M.Sc. degree in mathematics in 2007 and M.A. degree in psychology in 2003, both from Tel Aviv University. His research interests include stochastic modeling, analysis, and simulation in marketing and networks. Renato Guseo (“ Correction to the Paper ‘Optimal Product Launch Times in a Duopoly: Balancing Life-Cycle Revenues with Product Cost’ ”) is full professor in statistics, since 1994, at the University of Padua, Department of Statistical Sciences, Italy. Educated at the University of Padua, he was assistant professor in statistics at the Catholic University S.C. of Milan, director of the Department of Statistical Sciences at the University of Udine, and presenter of a B.Sc. course in regional economics and firms' networks at the University of Padua. His current research is focused on statistical quality control, design of hierarchical experiments, diffusion of innovations, competition and substitution, cellular automata, network automata, intervention and control in subsystems, oil and gas depletion models, and diffusion of emerging energy technologies. Walter J. Gutjahr (“ Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies ”) is an associate professor in the Department of Statistics and Decision Support Systems at the University of Vienna, Austria. He received his Ph.D. in mathematics and the habilitation in applied mathematics and computer science, both from the University of Vienna. After several years of activity in technical and management positions at Siemens Corporation in the area of information technology, he took a position at the University of Vienna, where he currently teaches applied mathematics and operations research. His research interests include combinatorial optimization, evolutionary computation, analysis of algorithms, software engineering, project management, scheduling, and health-care management. He has published numerous scientific articles, and his papers on ant colony optimization are currently among the most frequently cited articles in the field. Kurt Heidenberger (“ Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies ”) is professor and chair of the Department of Innovation and Technology Management at the University of Vienna, Austria. He received an M.A. in mathematics, a Ph.D. in economics and social science, and the habilitation in business administration, all from the University of Erlangen-Nürnberg, Germany. His research interests include applications of management science and decision-support systems to issues of strategic management, innovation/technology management, and health policy. His work has been published extensively in scientific journals, and he has broad experience in research and consulting with major corporations, government agencies, and international institutes such as the World Health Institute. Dorothée Honhon (“ Assortment Planning and Inventory Decisions Under Stockout-Based Substitution ”) is an assistant professor of operations management at the McCombs School of Business of the University of Texas at Austin. Her research interests include assortment planning, variety theory, retail operations, and inventory management. Particularly, she studies multiproduct problems with customer-driven substitution. Stephen C. Hora (“ An Analytic Method for Evaluating the Performance of Ag
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".