Biotechnological Potential of Chicken Stem Cells
Bibliographic record
Abstract
Stem cells, such as Spermatogonial stem cells(SSCs), are responsible to fulfil the proliferative demand of the testis so that millions of sperms are daily produced [1]. These cells have been considered as pluripotent stem cells because they are capable of differentiating into almost all cell types in the body [2]. Their pluripotent potential attracted interest of a number of researchers focusing the optimal conditions for their derivation and in vitro maintenance. Breakthroughs in stem cell research have shown that stem cells can be transdifferentiated from one type to another. Mesenchymal stem cells (MSCs) are well characterized stem cells having a multipotent differentiation potential [3-6]. In several reports, mesenchymal stem cells have been adapted to express molecular markers of primordial germ cells (PGCs), spermatogonial stem cells (SSCs) and spermatogonia [7-9]. Such potentials of mesenchymal stem cells made them good candidates for the generation of germ cell lineages with possible applications in germ cell related disorders like male infertility, transgenic technologies in industrial animals like poultries and survival of rare or almost extinct species. Biotechnology has witnessed significant breakthroughs in recent decades, culminating in the development of LETTER TO EDITOR
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".