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
Joining, whether at macro-, micro-, or nano-scale, is used to fabricate almost all manufactured products in industrial sectors, such as electrical, electronic, medical, aerospace, automotive and nuclear, providing mechanical coupling and support, electrical connection or insulation, environmental protection, etc.While microjoining has already become one of the most critical technical prerequisites in manufacturing of micro-devices and micro-systems, new challenges continue to emerge for technology advancements to support faster and more reliable fabrication, continuing miniaturization, and cost reduction.On the other hand, nanojoining is now developing rapidly and is expected to become a key technology in commercial success of nano-devices and nano-systems.Based on the background, the 2nd International Conference on Nanojoining and Microjoining was held at Hotel Seeblick, Emmetten, Switzerland, December 710, 2014, following the very successful first NMJ meeting in Beijing in 2012.
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