Bibliographic record
Abstract
Peptide growth factors are expressed by multiple tissues in the animal and human embryo and fetus. They undergo specific interactions which control the rate of cellular proliferation, tissue differentiation and the induction of specific morphogenic events such as mesoderm formation in the embryo. Biologic control may not only be exerted at the level of growth factor synthesis and receptor expression but by the sequestration and storage of growth factors by extracellular matrix molecules. In the case of insulin-like growth factors (IGFs), storage maybe mediated by attachment to specific IGF-binding proteins which may additionally modulate biological potency. Basic fibroblast growth factor (basic FGF) and transforming growth factor-beta (TGF beta) directly bind to glycosaminoglycan molecules. Release of growth factors from these stores may be by local proteolytic action. A sequential expression of basic FGF, IGF-II and TGF beta occurs in the ovine fetal epiphyseal growth plate as chondrocytes progress from a proliferative to a postmitotic, hypertrophic state. Cellular phenotype may be largely explained by the relative amounts of these autocrine growth factors within the growth plate.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.003 | 0.003 |
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".