Brenner Tumor of the Ovary with Striking Microcystic Change
Bibliographic record
Abstract
An ovarian Brenner tumor from a 39-year-old woman exhibited striking microcystic change that was so extensive it largely obscured the nature of the tumor, causing initial diagnostic difficulty. The patient presented with symptoms related to a pelvic mass and had a unilateral, 24 cm in maximal dimension, stage I tumor that was solid and cystic. Microscopic examination revealed extensive microcystic change within the epithelial nests in large areas of the tumor such that transitional-type epithelium was only recognized very focally. The tumor had minor areas (<5%) that showed marked cytological atypia and mitotic activity, interpreted as microscopic foci of intraepithelial carcinoma, but was predominantly benign. The presence of characteristic fibromatous stroma and mucinous metaplasia within the epithelial nests provided important clues to the correct diagnosis.
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How this classification was reachedexpand
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) | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".