The Guinea Pig: A New Model for Human Preimplantation Development
Bibliographic record
Abstract
ABSTRACT Preimplantation development is an important window of human embryogenesis. During this time, the initial lineages are formed which largely govern embryo competence, implantation, and ultimately the developmental potential of the fetus. Ethical constraints and limitations surrounding human embryos research often necessitates the use of a model system. We now identify the guinea pig as a promising small animal model, which closely recapitulates early human embryogenesis in terms of the timing of compaction, early-, mid-, and late-blastocyst formation and implantation. We also observe conserved spatio-temporal expression of key lineage markers, roles of both Hippo and MEK-ERK signaling and an incomplete X-Chromosome inactivation. Further, our multi-species analysis highlights the spatio-temporal expression of conserved and divergent genes during preimplantation development. The guinea pig serves as an exciting new model which will enhance developmental and pluripotency research and can be leveraged to better understand the longer term impact of early exposures on offspring outcomes.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.007 | 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".