Letter of thanks for <i>IJMSD</i>'s indexing in ESCI
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
Dear Authors/Reviewers/Editorial Board Members/Editorial Office Members/Readers, We are delighted to inform you that the International Journal of Mechanical System Dynamics (IJMSD) was officially indexed by Emerging Sources Citation Index (ESCI) on June 27, 2023, after being indexed by Inspec, Scopus, DOAJ, Dimensions, and some other databases. We would like to take this opportunity, on behalf of the IJMSD Editorial Board, to extend our gratitude and sincere appreciation for your significant contributions and support to IJMSD. The mission of IJMSD is to provide cutting-edge scientific and technology research in the area of mechanical system dynamics, with the goal of enhancing modern industrial research and development capabilities to improve the performance of mechanical systems. The research published in the journal highlights the crucial role of mechanical system dynamics throughout the entire lifecycle of modern and complex engineering products. The journal covers a wide range of topics, including theories, modeling, computation, analysis, software, design, control, manufacturing, testing, and evaluation of mechanical system dynamics. Since IJMSD's launch in July 2021, three volumes, eight issues, and 64 papers have been published. All these papers are open-access and available at https://onlinelibrary.wiley.com/loi/27671402. Authors are welcome to submit high-quality papers to IJMSD and are encouraged to read the already published IJMSD papers. With your help and contributions, IJMSD will become the leading scientific journal in the field of mechanical system dynamics. Your continuous support and contributions to the journal are highly appreciated.
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 | 0.000 |
| 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