Breakthroughs and challenges of modern developmental biology and reproductive medicine
Bibliographic record
Abstract
In recent decades we have witnessed unprecedented progress in the field of the developmental biology of mammals. Building on 20 th century discoveries, we have managed to increase our understanding of the molecular and cellular mechanisms governing early mammalian embryogenesis and link them to other biological questions, such as stem cells, regeneration, cancer, or tissue and organ formation. Consequently, it has also led to a creation of a completely new branch of reproductive medicine, i.e. assisted reproductive technology (ART). In this Special Issue of The International Journal of Developmental Biology (Int. J. Dev. Biol.) we wished to review state-of-the-art research regarding early mammalian development, from fertilization up to the implantation stage, and discuss its potential meaning for practical applications, including ART. As an introduction to the issue we present a compilation of short essays written by the most renowned scientists in the field, working both in basic and clinical research. The essays are dedicated to the greatest breakthroughs and challenges of 21 st century developmental biology and reproductive medicine.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".