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 Montreal protocal requiring industries to phase out the production and use of ozone depleting compounds(ODC), i.e. Freon TE, has prompted Lawrence Livermore National Lab (LLNL) to identify high performance environmentally benign cleaners that could replace Freon TE. My project; with the mentor ship of Ralph Hershey, Mike Meltzer, and Dave Miscovich; is to identify high performance alternative solvents that could replace Freon TE, which is a CFC-113, in metal cleaning and plastic processes, specifically printed board assemblies(PBA). All the alternative solvents we chose for our project can adequately remove flux and contaminants from PBAs via ultrasonic cleaning. Also, we wanted to know the efficiency of these cleaners on the PBAs compared to Freon TE if aged a simulated 15-20 years. This paper will briefly discuss the Alternative Testing Program at LLNL followed by a description of the methods used in my project. However, any conclusive results cannot be made until more extensive research is done.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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