Bibliographic record
Abstract
Mammalian spermatogenesis is a stem cell-driven system. Germ line stem cells (spermatogonial stem cells) form the basis of male fertility and are the only cells in an adult body that divide and can contribute genes to subsequent generations, making them immediate targets for genetic manipulation. Stem cells have to maintain a delicate balance between self-renewal to maintain a functional stem cell pool and differentiation to sustain efficient, life-long production of sperm. However, relatively little is known about the mechanisms that govern this fate-decision. Similar to stem cells in other organs, germ line stem cells reside in a specialized microenvironment, the stem cell niche. Interactions between stem cells and their niche are essential for tissue homeostasis. Our work utilizes various mammalian animal models and transplantation technology to elucidate aspects of stem cell function, formation of the stem cell niche, and applications of stem cell-based technology to preservation of fertility and genetic modification of non-rodent animal models.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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".