Human Fetal Adenohypophysis
Bibliographic record
Abstract
One hundred and forty human fetal pituitary glands were removed from fetuses at 7-40 weeks of gestation and studied by light microscopy and immunocytochemistry to localize adenohypophysial hormones. For immunocytology, the avidin-biotin-peroxidase complex technique was more sensitive and identified hormones in younger fetuses than did the immunoperoxidase method. Adrenocorticotrophin, beta-endorphin, and growth hormone were the first hormones detected; they were identified by intense cytoplasmic immunopositivity at 8 weeks of gestation. Between 10 and 20 weeks, many growth hormone containing cells were large and showed scattered, faint positivity; after 20 weeks, smaller cells with intense positivity predominated. alpha-Subunit of the glycoprotein hormones was identified at 9 weeks of development; beta-subunits of thyroid-stimulating hormone, follicle-stimulating hormone, and luteinizing hormone appeared by 12 weeks. Gonadotrophs differed in numbers related to fetal age and sex. From 15 to 25 weeks, glands of female fetuses contained more gonadotrophs than did those of males; after 25 weeks, there was no significant difference in total gonadotroph numbers. Throughout gestation, adenohypophyses of male fetuses had more luteinizing hormone containing cells than follicle-stimulating hormone containing cells; pituitaries of females had approximately the same numbers of follicle-stimulating hormone containing and luteinizing hormone containing cells. Prolactin was identified in few small cells at 12 weeks; at term, prolactin-containing cells were numerous, comparable to those seen in the hyperplasia of maternal glands in late gestation and during lactation. This comprehensive study indicates morphologic correlations with pituitary hormone extraction data and with the appearance of the various hormones in the fetal circulation.
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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) | 0.003 | 0.001 |
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".