Bibliographic record
Abstract
The Department of Mechanical Engineering Enterprise Management at the Faculty of Mechanical Engineering of the Czech Technical University in Prague has its own doctoral programme, and runs postgraduate and master's courses. The Department is engaged in a great deal of research in the field of marketing, financial and mainly operations management. A new Production and Operations Management programme was started in 1997. The programme consists of: Management of Change and the Importance of Innovations, Forecasting and Operations Strategy, Design of Work Systems, Total Quality Management and Inventory Control, Material Requirements Planning and Just-In-Time Systems, Logistics and Practical exercises. The study programme is organised in two stages, winter and summer semesters. The study programme has a strong international orientation. The teaching goal is to prepare students for dealing with real-world settings and implementing the most effective up-to-date practices. The Department aspires to lead in research, and in developing modern concepts and tools. Research is being conducted in the mechanical engineering industry under a grant from the EU LEONARDO programme. We invite you to email with questions or to schedule a visit to the Department at any time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.100 | 0.065 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".