Bibliographic record
Abstract
Currently under construction in Jena, Germany, the Deutsches Optisches Museum (D.O.M.) represents a novel concept in science communication, merging the principles of modern science centers with the heritage of classical museums. Designed as an interactive edutainment hub, the D.O.M. integrates artistic, aesthetic, and scientific approaches to engage the public in optics, photonics, and medical physics. Visitors will be driven to learn through curiosity, visual fascination, and hands-on experimentation, all of which will be complemented by in-depth scientific explanations. Spanning more than 3100 m 2 across four floors, the museum’s exhibition will be dedicated to microscopy, ophthalmic optics and spectacle lenses, and astronomy. Key highlights include the world’s largest historical glass archive; interactive relay-optics stations that allow visitors to “look through” historical instruments; and large-scale educational models such as a walk-in human eye. The concept unites education, research outreach, and design through collaboration with leading architects, artists, scientists, and industrial partners. Located in the historical and contemporary heart of optical innovation, D.O.M. aims to set a global benchmark for communicating science in the fields of optics and photonics. The museum fosters public understanding and appreciation of the physical principles of optics and photonics that shape both medical and industrial technologies.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.185 | 0.038 |
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".