Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Anterior pituitary tumors are clonal proliferation of pituitary cells. They usually consist of one cell type, although some adenomas consist of more than one cell type. Pituitary tumors can be characterized by broad spectrum markers such as synaptophysin and chromogranin. Reticulin histochemical staining is useful in separating normal hyperplastic and neoplastic pituitary tissues. Electron microscopy is a powerful tool to help separate various subtypes of adenomas including sparsely and densely granulated growth hormone adenomas and different subtypes of silent ACTH adenomas. The major types of pituitary adenomas include GH, PRL, ACTH, TSH, gonadotroph (FSH/LH), and null cell adenomas. A combination of hematoxylin and eosin staining, immunohistochemistry, and electron microscopic studies are the most comprehensive ways of classifying pituitary tumors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it