Bibliographic record
Abstract
It has now been 3 years since the inaugural issue of the Journal of Cell Communication and Signaling as published by Springer. Taking into consideration its predecessor, Cell Communication and Signaling (JCCS) published by Biomed Central, it has now been 7 years since the International CCN Society has sponsored a journal. The original intent of the International CCN Society was to create a journal disseminating knowledge concerning the CCN family of matricellular proteins. In 2003, it was perceived that the CCN family of proteins was under-recognized within the broader scientific community and was in need of a journal emphasizing their role. It is our belief that, in this regard, the journal has been a great success and has aided in the overall growth of interest in the CCN family as critical modifiers of signaling pathways involved with a wide range of physiological activities. In particular, we feel that the CCN family is now recognized by the translational research community as playing an essential role in human diseases including cancer and fibrosis by modifying cellular responses to signaling molecules including cytokines and extracellular matrix. Indeed, we feel that detailed knowledge of these interactions will be essential, in the future, for developing novel therapeutic approaches to combat disease. In 2010, we recognize that there is a need for a journal that aims to publish quality manuscripts focusing on the complex, context-dependent interactions between cells and their environment and the role of these interactions in disease. We have decided to alter and broaden the focus of JCCS to fill this gap. Thus, with this issue of JCCS, we are instituting several changes. First, in consultation with Springer, we have modernized the cover of JCCS, which will now change each quarter to include a photograph or illustration of a key concept published in the issue. Second, the membership of the editorial board has been altered to reflect the broader focus of the journal on translational research. Finally, to emphasize the continuity with the original scope of JCCS, Prof Bernard Perbal will remain as Executive Editor, but Prof Andrew Leask will now assume a new position as Scientific Editor. We hope that you will consider sending articles to JCCS. We continue to promise a rapid and fair review process focused on the quality of the science presented. Sincerely Andrew Leask Bernard Perbal
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 | 0.023 | 0.056 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.025 | 0.011 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.014 | 0.022 |
| Insufficient payload (model declined to judge) | 0.323 | 0.283 |
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".