Bibliographic record
Abstract
Basic fibroblast growth factor (FGF-2) is a pleiotropic cytokine which exerts its effects via four different high affinity receptors (FGFR-1 to -4) which function as protein tyrosine kinases. In the kidney, FGF-2 is expressed in epithelial cells already during fetal development. During later stages, expression of the cytokine can be found in distal tubular epithelial cells, glomerular cells and few interstitial cells. Expression in fibroblasts is robustly upregulated in chronic kidney scarring pointing to an important role in fibrogenesis. Functional studies have demonstrated that FGF-2 exerts mainly proliferative effects on a variety of renal cell types. In regard to fibrogenesis, the expression and induction of proliferation in interstitial fibroblasts may be the most important function. FGF-2 is one of the key factors contributing to autocrine fibroblast proliferation in post-inflammatory matrix synthesis. In addition, FGF-2 facilitates epithelial to mesenchymal transition of tubular epithelial cells contributing early to an increase of matrix producing cells. However, the cytokine does not contribute directly to extracellular matrix synthesis. Still, many aspects of FGF-2 in renal fibrogenesis remains to be evaluated.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".