Pregnancy and Radiotherapy: Protecting Fetuses from the Effects of Radiation
Bibliographic record
Abstract
Some pregnant women have cancer and need to receive radiotherapy treatment.However, radiotherapy can be dangerous, especially for the fetus.Radiation exposure can cause many harmful effects on the fetus, including potential death, growth impairments, and many neurological effects like mental retardation, severe intellectual disability, brain injury, loss of IQ points, and more.Such symptoms can hinder the offspring's ability to succeed later on in life after birth.Pregnant women who require radiotherapy often have to compromise between their health and the health of their child.Making radiotherapy safer and finding ways to treat already existing radiation exposure symptoms in fetuses is extremely important.Pregnant patients should feel confident in the safety and effectiveness of their treatment and should not have to choose between their health and the health of their child.The objective of the research is to find methods to increase the safety of radiotherapy, especially when it comes to protecting the fetus from the effects of radiation exposure, and also find ways to treat already existing symptoms of radiotherapy.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".