A 25-Year-Old Primigravida with a History of Female Genital Mutilation
Bibliographic record
Abstract
Female genital mutilation/cutting (FGM/C) is the nontherapeutic alteration of the external female genitalia. It occurs globally but is most prevalent in parts of Africa, Asia, and the Middle East. Globally, FGM/C is considered an act of gender-based violence and is a federal crime in the United States and Canada. The WHO (World Health Organization) classifies FGM/C into four subtypes to standardize diagnosis, documentation, and management. Type 3, also known as infibulation, is considered the most severe subtype. There are infectious, urologic, obstetric, and psychological complications, especially with Types 2 and 3 FGM/C. Recommendations for management of FGM/C Type 3 (infibulation) consist of restoration of the external genitalia by defibulation. Holistic and culturally competent care should drive the overall management approach. In addition to surgical management to restore the external genitalia, comprehensive care should include ongoing counseling, psychosocial support, and comprehensive obstetric and gynecologic care.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".