Adenohypophysitis in rat pituitary allografts.
Bibliographic record
Abstract
The histologic changes in pituitary allografts transplanted under the kidney capsule from Wistar to Lewis rats were investigated. Normal pituitaries, pituitary autografts and intrasellar pituitaries of rats bearing allografts were also examined. Rats were sacrificed at various times after transplantation. Sections stained with H & E were investigated by light microscopy. Two days after transplantation, the central part of the allografts showed ischemic necrosis. A week later, massive mononuclear cell infiltration composed mainly of lymphocytes was seen. Several weeks after transplantation, the mononuclear cell infiltration decreased, the surviving adenohypophysial cells increased in number and the necrotic area was replaced by connective tissue. In the autografts the central ischemic necrosis was similar to that of the allografts. The mononuclear cell infiltration was, however, mild and the adenohypophysial cells seemed to increase in number earlier than those of the allografts. No histologic changes were noted in control adenohypophyses and in intrasellar pituitaries of rats bearing allografts. It appears that pituitary allografts are “foreign” and evoke an autoimmune response. Pituitary allografts represent useful experimental models to investigate the development and morphology of adenohypophysitis, a rare disease occurring mainly in young women often associated with pregnancy.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".