Probing nanoscale behavior of magnetic materials with soft X-ray spectromicroscopy
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 Nanotechnology Reviews (NTREV) journal aims at all aspects of nano-science and nano-engineering as well as emerging innovative topics of all areas of engineering science at the nanoscale , nano-energy , nano-biomaterials , and nano-composites . The journal emphasizes interdisciplinary and multi-functional research and linkage between nanotechnology and composites technology . Non-nano papers with potential significant future contributions to nano-research may be welcomed on a case by case basis. These topics include: bio-inspired/soft materials , 3D/4D printing , molecular dynamics/multi-scale modeling , imaging , batteries , graphene/carbon nano tubes , nano-mechanics , and many others. Check out the latest table of contents at a glance with easy access to most cited and most downloaded Nanotechnology Reviews’ papers of 2020 and 2021 ! Table of contents 2020 Table of contents 2021
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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