Recent Advances in Micro, Nano, and Cellular Composite Materials
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
It is with great pleasure that we compiled the Special Issue Recent Advances in Micro, Nano, and Cellular Composite Materials of the Journal of Engineering Materials and Technology (JEMT). In this special issue, a total of 18 articles from leading research groups, covering the broad area of multidisciplinary materials in different length and size scales, are presented. All papers published in this special issue were selected from those presented at the ASME International Mechanical Engineering Congress and Exposition (IMECE) in Vancouver, British Columbia, Canada during November 12–18, 2010.It is our expectation that the papers published in this special issue will be of lasting value for researchers and educators, and contribute to our understanding of micro, nano, and cellular composite materials.The editors would like to gratefully acknowledge the authors for their contributions and the reviewers for their insightful suggestions and criticisms. Finally, the editors acknowledge chief editor Dr. Hussein M. Zbib for his motivation and expert guidance throughout the publication process of this special issue.Sincerely,
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