ORIGINAL ARTICLE: CD56<sup>+</sup> Cells are Recruited to the Uterus in Two Waves: at Ovulation and During the First 2 Weeks after Missed Menses
Bibliographic record
Abstract
PROBLEM: Uterine natural killer (uNK) cells are enriched in the post-ovulatory uterus and during pregnancy. Whether these cells arise from blood pre-cursors or from stem cells in the uterus is undefined. To support a hypothesis that precursors of uNK cells are recruited from blood, adhesive function of blood CD56+ subsets were assessed during one cycle and during pregnancy. METHOD OF STUDY: Fifteen women of proven fertility provided serial blood samples during one menstrual cycle and thirty women with a history of implantation failure or recurrent spontaneous abortion provided serial samples during infertility treatment. RESULTS: CD56(bright) cells, but not CD56(dim) cells or NKT cells, increased in ligand-binding capacity during ovulation in fertile cycles only and during the first 2 weeks from date of missed menses. CONCLUSION: Enhanced adhesive function at ovulation in CD56(bright) cells in fertile cycles and during early gestation supports a hypothesis of recruitment of pre-uNK cells from the blood CD56(bright) subset.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".