Increased microvessel density in the pituitarires of pregnant women
Bibliographic record
Abstract
Pituitary enlargement, development of pregnancy cells and prolactin cell hyperplasia are known to occur in pregnancy. In the present work, we assessed microvessel densities in the 20 pituitaries of pregnant women who passed away. Twenty pituitaries of age matched non‐pregnant women who died from non‐endocrine diseases were used as controls. The autopsy obtained pituitaries were formalin fixed and paraffin embedded. Slides were immunostained for adenohypophysial hormones and for CD‐34, an endothelial cell biomarker using the streptavidin‐biotin‐ peroxidase complex method. Microvessel densities were evaluated quantitatively in 10 random high‐ power fields. For statistical analysis, the chi‐square and Fisher exact tests were applied. The results confirmed that the pituitaries of pregnant women increased in weight and contained more PRL immunopositive cells compared to the controls. The formation of pregnancy cells was also evident. In the pituitaries of pregnant women compared to the control, microvessel densities were significantly higher. The cause of increased vascularity remains to be evaluated. This work was supported by the Jarislowsky and Lloyd Carr‐Harris Foundations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".