NuGrid/NuDocker: A virtual research environment for computational nuclear and stellar astrophysics
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 motivation behind NuDocker is to conserve the capability of running nuclear and stellar astrophysics simulations codes from many years ago, even if the commonly adapted compute environment has evolved (compilers, OS utilities, libraries). Thus the main goal of NuDocker is <strong>reproducibility of science</strong>. The stellar evolution code MESA and the NuGrid post-processing codes are <em>big</em> code instruments with lots of modules and dependencies that all have to play perfectly together. Rich Townsend's MESA SDK has significantly taken the pain out of compiling such codes. Nevertheless, it is still difficult to maintain on one actual computer the capability to run different versions of MESA, especially going back to the older versions. At the same time, a lot of important results have been obtained with these older revisions which in many cases are not obsolete, but just different MESA flavours.
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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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