Viable iPSC mice: a step closer to therapeutic applications in humans?
Bibliographic record
Abstract
Rapid advancements have occurred in induced pluripotent stem cell research within the 3 years since Yamanaka and colleagues first reprogrammed adult mouse fibroblasts to an embryonic stem cell-like state by the forced expression of a small cohort of transcription factors. Progress has been made in overcoming various technical obstacles, including oncogenic threat, that hinder the application of iPS cell technology as a therapeutic strategy in humans. Remaining hurdles include the low efficiency of iPS cell induction and the demonstration of complete developmental potential. This latter impediment now appears to have been overcome simultaneously by two groups (Kristen Baldwin and colleagues and Qi Zhou and colleagues), who have generated viable adult mice from tetraploid complementation assays using iPS donor cells. The generation of sufficiently reprogrammed iPS cells and mice will allow for adequate genomic and functional testing to evaluate their utility in research applications and patient-specific cell replacement therapies, which may include infertility.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".