Bibliographic record
Abstract
Uterine fibroids are the most common benign tumor of the uterus in women of reproductive age. However, most of them are asymptomatic and do not require any treatment. Menorrhagia and pelvic pain are the most usual symptoms, and some women may present with infertility or pregnancy-related complications. In those with abnormal uterine bleeding, one should exclude other causes of abnormal vaginal bleeding including endometrial cancer. Diagnosis of uterine fibroid is established by pelvic ultrasonography with or without saline infusion hysterosonography. Management options depend on the patient's fertility potential and desire for future pregnancy. Submucous myoma should be treated by a hysteroscopic approach. Intramural and subserous myomas in women who opt for nonsurgical treatment could be treated with uterine artery embolization (UAE), high-intensity focused ultrasound (HIFU), or medical treatment such as selective gonadotropin-releasing hormone agonists, progesterone receptor modulators, or aromatase inhibitors. All interventions aside from hysterectomy provide temporary relief, although myomectomy, UAE, and HIFU provides more durable symptom relief relative to current medical management. Patients wishing to preserve their fertility are best treated by myomectomy, which can be done by laparoscopy. A laparoscopic approach is more advantageous than laparotomy, but laparoscopic suturing is more demanding. This can be overcome by robotic-assisted laparoscopic myomectomy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".