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Record W2599654867

Prenatal Management of Anencephaly

2008· article· en· W2599654867 on OpenAlexaboutno aff
Joanna N. Erdman

Bibliographic record

VenueKnowledge@SchulichLaw · 2008
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsAnencephalyAbortionMeaning (existential)LawPregnancyScope (computer science)MedicinePsychologyFetusPolitical sciencePsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

About a third of anencephalic fetuses are born alive, but they are not conscious or viable, and soon die. This neural tube defect can be limited by dietary consumption of foliates, and detected prenatally by ultrasound and other means. Many laws permit abortion, on this indication or on the effects of pregnancy and prospects of delivery on a woman's physical or mental health. However, abortion is limited under some legal systems, particularly in South America. To avoid criminal liability, physicians will not terminate pregnancies, by induced birth or abortion, without prior judicial approval. Argentinian courts have developed means to resolve these cases, but responses of Brazilian courts are less clear. Ethical concerns relate to late-term abortion, meaning after the point of fetal viability, but since anencephalic fetuses are nonviable, many ethical concerns are overcome. Professional guidance is provided by several professional and institutional codes on management of anencephalic pregnancies. This paper was co-authored with Rebecca Cook , University of Toronto ( rebecca.cook@utoronto.ca ); Martin Hevia , Universidad Torcuato Di Tella ( mhevia@utdt.edu ); and Bernard Dickens , University of Toronto ( bernard.dickens@utoronto.ca ).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.038
GPT teacher head0.315
Teacher spread0.277 · 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 teacher head, 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
Published2008
Admission routes1
Has abstractyes

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