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.
Bibliographic record
Abstract
The Mid-Infrared ELT Imager and Spectrometer (METIS) is a first light instrument for the Extremely Large Telescope (ELT) in Chile, covering the 3-19 micrometer wavelength range in the mid-infrared. As the project entered system Assembly, Integration, and Testing (AIT) phase at Leiden University in early 2026, dedicated Support Equipment (SEQ) is essential for safe handling, accurate alignment, and efficient verification of the instrument and its subsystems. This paper presents the design and realization of the SEQ units developed by the Academia Sinica Institute of Astronomy and Astrophysics (ASIAA). These units include the AIT Support Frame (ASF), the ASF/METIS transport container, the cleanroom booth, the cryostat AIT Lifting Platform (ALP) and subsystem ALP. The SEQ design requirements, engineering simulations, structural analyses, and final implementation are presented. The completed units delivered to the METIS AIT facility demonstrate the readiness of METIS for the integration and verification phase.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it