Subtle Presentation of Bilateral Ovarian Dermoid Cysts With Unilateral Torsion: A Case Report
Bibliographic record
Abstract
Majority of non-physiological tumors seen in pregnancy are mature cystic teratomas, also known as dermoid cysts. Their discovery in pregnant women poses a vexing problem as there are no established guidelines for their management and multiple factors need to be considered to decide the appropriate strategy. We are reporting a case of bilateral ovarian dermoid cysts in a pregnant woman who presented towards the end of her third trimester and was managed by careful observation until the day of elective cesarean section and bilateral cystectomy. During surgery the team was surprised to discover a torsed dermoid cyst. The striking features of this case were the subtlety of clinical presentation and the absence of typical signs associated with ovarian torsion. J Clin Gynecol Obstet. 2015;4(2):232-234 doi: http://dx.doi.org/10.14740/jcgo334w
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".