Exploration Development Lab: Industry Investments Supporting Constellation Risk Reduction
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
Lockheed Martin Corporation and industry partners – with grants from the States of Texas and Colorado – are investing in an Exploration Development Laboratory to be used by industry and NASA to conduct early avionics and software risk mitigation activities for Project Orion and the Constellation Program. Although dedicated Avionics System Integration Labs have been built in the past and are planned for Constellation, this capability has been designed to support avionics and software risk mitigation much earlier in the design phase. The Exploration Development Lab consists of geographically distributed test and verification facilities connected via an extranet, an integrated test automation framework tool suite, and a shared data warehouse. This paper will discuss the historical importance of System Integration Labs, provide an overview of the Exploration Development Lab, review progress on the build up of this capability, and summarize testing to date.
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) | 0.000 | 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