MétaCan
Menu
Back to cohort
Record W2488725113 · doi:10.1017/cbo9780511794995.022

Fertility of children exposedin uteroto chemotherapy

2011· book-chapter· en· W2488725113 on OpenAlexaff
Tal Schechter, Ronen Loebstein

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineFetusPregnancyRadiation therapyAbortionObstetricsBrachytherapyCancerDiseasePlacentaGynecologySurgeryInternal medicineBiology

Abstract

fetched live from OpenAlex

This chapter discusses the risk of embryo-fetal irradiation during pregnancy. In pregnant patients undergoing radionuclide examinations, radiation may reach the embryo-fetus by means of the penetrating gamma rays and X-rays emitted by radionuclides concentrated in maternal organs or the placenta, or by radionuclides taken up by the fetus after they cross the placenta. Physicians faced with a pregnant woman who requires radiation therapy for cancer may be inclined to advocate abortion for fear of possible injury to the fetus. The chapter also discusses specific cancers complicating pregnancy that may require radiation therapy. These cancers are usually divided into extrapelvic and pelvic. The chapter describes the most common types: breast cancer, Hodgkin's disease (extrapelvic), and cervical cancer (pelvic). Radiation exposure has been shown to increase the risk of cancers in both adult and children.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.030
GPT teacher head0.220
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicCancer Risks and FactorsFrench-language works237,207