Clinical management of females seeking fertility treatment and of pregnant females with eating disorders
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The presence of eating disorders (EDs) might have a significant impact upon pregnancy, birth, and the offspring's well-being. Thus, several specific aspects are to be considered by medical professionals when females with EDs either become pregnant or intend to undergo fertility treatment. Clinical management algorithms for gynaecologists and fertility specialists are missing. Here, based on currently available evidence on the topic, specific clinical recommendations are presented. Treatment by a mental health professional may be necessary for pregnant females suffering from acute EDs or prior to fertility treatment. Because the regulation of the menstrual cycle is known to be induced in the course of ED-specific treatment due to weight gain and eating behaviour stabilization, the necessity and drawbacks of fertility treatments in females with EDs are discussed.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it