We are scientists and engineers testing NASA's James Webb Space Telescope, which is the scientific successor to the Hubble, AMA!
Bibliographic record
Abstract
Hello! We are scientists and engineers working at NASA Goddard, and leading the current testing on the James Webb Space Telescope in NASA Johnson’s historic Chamber A. Why is this testing notable? Chamber A is a giant thermal vacuum chamber, and our telescope is undergoing a ~100 day, end-to-end test at extremely cold temperatures, in a space-like vacuum inside of it. We’ll answer questions about why Webb has to perform in extreme cold, why NASA built a giant, infrared telescope, and what cryogenic testing is all about. We’ll be online for an hour or so on Thursday October 19th, at 1pm ET for questions, and we will be checking back in periodically after the Q&A for other questions. NASA’s James Webb Space Telescope (Webb) is the world’s premier space telescope of the next decade. It will delve deeper into our solar system, look beyond to distant worlds around other stars, and help us to learn more about the universe and our place in it. Webb is an international collaboration among NASA, the European Space Agency (ESA), and the Canadian Space Agency (CSA). Answering your questions: Mark Voyton: Optical Telescope Element and Integrated Science Instrument Module Manager Juli Lander: Deputy Optical Telescope Element and Integrated Science Instrument Module Manager Randy Kimble: Integration & Test Project Scientist Lee Feinberg: Optical Telescope Element Manager & Optical Telescope Element and Integrated Science Instrument Module Technical Lead. ETA: We are about done for today - but we’ll check back in tomorrow. Thanks so much for all the excellent questions, we had a great 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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.132 | 0.088 |
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".