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Record W2134021542 · doi:10.1002/tera.10038

Ethical framework for observational studies of medicinal drug exposure in pregnancy

2002· article· en· W2134021542 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTeratology · 2002
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsSickKids FoundationUniversity of Toronto
Fundersnot available
KeywordsObservational studyPregnancyDrugMedicinePharmacologyBiologyInternal medicineGenetics

Abstract

fetched live from OpenAlex

BACKGROUND: The conduct of human research in the teratogenicity of drugs, chemicals, radiation and infections is needed in order to close critical gaps in knowledge. METHODS: We reviewed the various aspects of the ethics of conducting prospective human research in teratogenicity. RESULTS: Such research should respect the confidentiality of pregnant women and their families. Because this research is observational, interpretation of results is difficult, and the study design should strive to meet the highest possible scientific standards attainable in the particular research conditions. It should also be acknowledged that confidentiality cannot be always adhered to (e.g., if the interview reveals risks to minors). CONCLUSIONS: In general, the benefit risk ratio in this type of research is very favorable, although in specific cases the research follow-up may induce fears (e.g., drugs of abuse) in the woman being interviewed.

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.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
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 head0.194
GPT teacher head0.423
Teacher spread0.230 · 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