Coupling Multi-Scale Mechanical Testing Techniques with FIB and TEM Characterization to Reveal Mechanisms of Embrittlement of High Dose Inconel X-750
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
Journal Article Coupling Multi-Scale Mechanical Testing Techniques with FIB and TEM Characterization to Reveal Mechanisms of Embrittlement of High Dose Inconel X-750 Get access CD Judge, CD Judge Canadian Nuclear Laboratories, Research and Development, Chalk River, Ontario, Canada Corresponding author: colin.judge@cnl.ca Search for other works by this author on: Oxford Academic Google Scholar C Howard, C Howard Canadian Nuclear Laboratories, Research and Development, Chalk River, Ontario, Canada Search for other works by this author on: Oxford Academic Google Scholar V Bhakhri, V Bhakhri Canadian Nuclear Laboratories, Research and Development, Chalk River, Ontario, Canada Search for other works by this author on: Oxford Academic Google Scholar C Dixon, C Dixon Canadian Nuclear Laboratories, Research and Development, Chalk River, Ontario, Canada Search for other works by this author on: Oxford Academic Google Scholar C Mayhew, C Mayhew Canadian Nuclear Laboratories, Research and Development, Chalk River, Ontario, Canada Search for other works by this author on: Oxford Academic Google Scholar S Hoendermis S Hoendermis Canadian Nuclear Laboratories, Research and Development, Chalk River, Ontario, Canada Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 25, Issue S2, 1 August 2019, Pages 1586–1587, https://doi.org/10.1017/S1431927619008663 Published: 01 August 2019
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) | 0.001 | 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