EE-11 candidate mission CAIRT: an overview of the Phase 0 and A System studies
Bibliographic record
Abstract
The Changing-Atmosphere Infra-Red Tomography (CAIRT) mission was proposed as ESA’s Earth Explorer 11 candidate to address critical gaps in understanding the middle atmosphere and its role in climate forcing and feedbacks. Using an innovative imaging Fourier Transform Spectrometer, CAIRT combines limb sounding with high-resolution infrared spectroscopy to deliver unprecedented 3D observations of atmospheric composition, temperature, aerosols, and optically thin clouds. These measurements are needed to improve understanding of processes such as gravity wave dynamics, tracer transport, and long-term circulation trends. This paper provides an overview of the mission’s scientific objectives, the observation concept, and key technical requirements, followed by a detailed account of the system architecture developed during the Phase 0 and Phase A studies. Two payload concepts were defined and matured, sharing the same measurement technique but differing in implementation details. Extensive pre-development activities were conducted to de-risk critical subsystems including the interferometer, detector assemblies, cryogenic cooling, and pointing mechanisms. At the end of Phase A, the mission was deemed to have reached the required scientific and technical readiness level and demonstrated strong scientific relevance.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".