Bibliographic record
Abstract
Male germ cells, the repository cells of the genome, comprise several successive developmental stages starting in the embryo and ending up with the spermatozoon. Gonocytes represent the fetal and neonatal stages preceding the formation of spermatogonial stem cells. Recent findings shows that germline stem cells can be driven to pluripotency and used as alternative for embryonic stem cells prompted more effort in identifying the processes regulating the development of their precursors, the testicular gonocytes. Also called pre- or pro-spermatogonia, gonocytes represent not one, but several successive developmental stages between the time at which the germ cell becomes resident in the forming fetal testis to the time it migrates to the basement membrane of the seminiferous cord to adopt a spermatogonial phenotype. This review summarizes the findings regarding the genetic identity of gonocytes, providing a description of the "common" gene expression profiles of fetal and neonatal gonocytes, as well as information on the main regulatory factors of gonocyte functions. A better comprehension of gonocyte development should help in the understanding of how germline stem cells are formed, possibly providing valuable clues on the origins of germ cell tumors or infertility.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".