Ovarian Hyperstimulation Syndrome Prevention Strategies: In Vitro Maturation
Bibliographic record
Abstract
The only reliable way to eliminate the risk of ovarian hyperstimulation syndrome (OHSS) is complete avoidance of gonadotropin ovarian stimulation. It could be argued that in vitro maturation (IVM) of oocytes represents the most effective strategy to prevent OHSS. IVM has been an established treatment option in many centers worldwide for over a decade. The use of IVM and natural cycle in vitro fertilization (IVF) combined with IVM can result in clinical pregnancy rates that compare to those obtained with conventional IVF. The obstetric and perinatal outcomes of IVM pregnancies are similar to those conceived from stimulated IVF or spontaneous conceptions. To date, more than a thousand healthy infants have been born without an increase in fetal abnormalities. Although IVM may not replace standard IVF, it plays an increasingly important role in assisted reproductive technology, especially in the settings of high responders and those patients at risk of OHSS.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".