The pituitary in reeler mice
Bibliographic record
Abstract
Reeler mutant mice lack Reelin, a neuronal glycoprotein, that plays a crucial role in brain development. They have low body weight and most of them are sterile. Since the brain plays a key role in the regulation of pituitary function and structure, we decided to study the pituitary in the reeler mutant mice. All mice were handled in accordance with the procedures of the Guiding Principles for the Care and Use of Animal Research (86/609/EU). Mice were divided into 3 groups of 5 mice each: Reeler Homozygotes (RHM), Reeler Heterozygotes (RHT) and Controls (CO). Animals were weighted and sacrificed with pentothal anesthesia. Blood hormones levels were measured by RIA. Pituitaries were removed, weighted and paraffin embedded for histology and immunohistochemistry or Epon embedded for electron microscopy. Body and pituitary weights were decreased in RHM and RHT mice. Blood Growth Hormone (GH) levels were not reduced and no major changes were detected in the blood levels of other pituitary hormones. Histological, immunohistochemical and ultrastructural studies revealed no differences in pituitary cells between RHM, RHT and CO except that somatotrophs seemed to be slightly smaller in RHM and RHT. In conclusion, no major alteration indicating pituitary hypofunction was demonstrated in reeler mice. More studies are needed to reveal the cause of their low body weight and 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".