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Record W2057426247 · doi:10.1016/j.ijgo.2011.07.007

Legal and Ethical Issues in Fetal Surgery

2011· article· en· W2057426247 on OpenAlexaff
Bernard M. Dickens, Rebecca J. Cook

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2011
Typearticle
Languageen
FieldMedicine
TopicSpinal Dysraphism and Malformations
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFetal surgeryFetusIntervention (counseling)MedicinePsychological interventionWelfareUnborn childObstetricsPregnancyNursingPolitical scienceLawIn utero

Abstract

fetched live from OpenAlex

Recent research in the USA has shown the advantages for children's welfare of open fetal surgery over postnatal treatment for myelomeningocele. However, a balance must be struck between complications of premature birth risked by prenatal surgery and the long-term advantages for affected children's health, including mobility and neurologic capacity. Risks for women are repeated surgery for intervention and delivery. The research raises legal and ethical questions about how fetal interests should influence women's choices, and whether women may decline interventions in their pregnancies that offer their children lifelong advantages. Beyond fetal interests and women's preferences are state interests in fetal life, which in the USA and elsewhere have been expressed in judicially authorized cesarean deliveries. Underlying issues are the nature of fetal interests; contrasting entitlements to care from their mothers of fetuses and born children; healthcare providers' responsibilities toward fetuses; and duties of care, information, and advice to pregnant women.

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)0.099
metaresearch head score (Gemma)0.145
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.099
Threshold uncertainty score0.523

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0990.145
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.055
Scholarly communication0.0130.007
Open science0.0030.007
Research integrity0.0320.028
Insufficient payload (model declined to judge)0.0040.001

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 head0.035
GPT teacher head0.313
Teacher spread0.278 · 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 designNot applicable
Domainnot available
GenreReview

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

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