A Case of Ovarian Glomus Tumor and Literature Review
Bibliographic record
Abstract
A 42-year-old Chinese female presented with postcoital bleeding and was incidentally found to have a complex mass in the left adnexal region on pelvic ultrasound. A laparoscopic left salpingo-oophorectomy performed showed an 8 cm cystic mass arising from the left ovary with an associated left fallopian tube hydrosalpinx. The mass was composed of epithelioid cells with a vague nested architecture which showed positive smooth muscle actin (SMA) immunohistochemical staining. Features were consistent with a glomus tumor, an extremely rare mesenchymal neoplasm arising in the ovary. Our case is hitherto the largest reported glomus cell tumor of the ovary measuring 8 cm to date. This tumor has uncertain malignant potential requiring close gynecological surveillance. J Med Cases. 2018;9(3):83-85 doi: https://doi.org/10.14740/jmc2998w
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.
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 | 0.001 | 0.002 |
| 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) | 0.001 | 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".