Editorial Greeting to Journal Readers 2018
Bibliographic record
Abstract
The ASME Journal of Nuclear Engineering and Radiation Science celebrates its third year. On this occasion, I would like to congratulate all members of our Journal Board, reviewers, authors, and readers! Below are the latest Journal statistics changes, and plans for the future. First of all, I would like to express my great appreciation to those Associate and Guest Editors (AEs and GEs), whose terms have expired in 2017, for their valuable contributions to the Journal and nuclear engineering:Associate Editors:Won-Phil Baek (Ph.D.), KAERI, Daejeon, South KoreaAndrey N. Churkin (Ph.D.), OKB «GIDROPRESS», Podolsk, RussiaLin-wen Hu (Ph.D.), MIT, Cambridge, MARafael Macian-Juan (Ph.D.), TUM, Munich, GermanyJoseph S. Miller (M.Sc.), EDA, Inc., Terre Haute, INRosa Maria Montereali (Ph.D.), ENEA, Rome, ItalyGuest Editors:Also, we would like to welcome the following new Associate and Guest Editors:New Associate Editors:New Guest Editors:With these changes in the lists of Associate and Guest Editors, our editorial team consists of 1 Editor (Ed), 32 AEs, and three GEs, who represent 14 countries with nuclear-power reactors (Canada (1 Ed, 2 AEs, and 1 GE), China (3 AEs), Czech Republic (1 AE), France (1 AE), Germany (2 AEs), Hungary (1 AE), India (1 AE), Japan (4 AEs), Mexico (1 AE), Russia (2 AEs), Slovenia (1 AE), Ukraine (1 Ed), United Kingdom (1 AE), and USA (8 AEs and 2 GEs)), and three countries without nuclear-power reactors (Austria (1 AE), Israel (1 AE), and Italy (2 AEs)).During our third year, we have published four issues (as planned, always on time or ahead of schedule) with 94 papers including two Special-Edition Issues with selected papers:Also, our Special-Edition Issue on papers from the International Symposium on SuperCritical Water-cooled Reactors (ISSCWR-7) (Issue No. 1, Vol. 2, January of 2016) has been listed on the GIF (Generation IV International Forum) website: https://www.gen-4.org/gif/jcms/c_42151/supercritical-water-cooled-reactor-scwr!Our plans for the near future are:Many authors and readers asked us about ratings of our Journal in various international systems. On this, we have good news to announce—The Journal was accepted into the Web of Science, Emerging Sources Citation Index; it is accepted for inclusion in Scopus (by Elsevier B.V.), and it is eligible for a Journal Impact Factor (JIF) next year.And finally, we hope that you will join us in this new journal as authors of submitted manuscripts and as reviewers. This is indeed a unique international journal, which combines research, industrial operating experience, new designs/systems, safety analysis, applications of nuclear energy, and many other related topics that change the world and our lives for the better! We also hope you will enjoy reading the papers that follow.On the behalf of the ASME NERS Editorial Board,
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.044 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.113 | 0.117 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".