Will<i>in vitro</i>maturation ever be used in all IVF patients?
Bibliographic record
Abstract
In vitro maturation of human oocytes obtained from unstimulated ovaries offers a more ‘patient friendly’ treatment option than conventional IVF treatment with ovarian stimulation to the couples undergoing assisted reproductive technologies. It has classically been offered to women who are considered high risk for ovarian hyperstimulation syndrome. Since significant progress has been made to improve the implantation and pregnancy rates using in vitro matured oocytes, the patient spectrum for in vitro maturation treatment has become wider. However, implantation and pregnancy rates of conventional IVF are still higher than those of unstimulated cycles followed by in vitro maturation. To improve the in vitro maturation outcomes, some studies have focused on improving in vitro culture conditions, whereas others have tried to improve the quality and quantity of oocytes retrieved by modifications in the follow-up of treatment cycles.
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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 | 0.000 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".