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Record W2075178254 · doi:10.1179/107735211799041922

Congenital Anomalies in the Offspring of Nurses: Association with Area of Employment During Pregnancy

2011· article· en· W2075178254 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Occupational and Environmental Health · 2011
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsUniversity of British Columbia Hospital
FundersCanadian Institutes of Health ResearchOne in Five Association
KeywordsOffspringPregnancyMedicineGeeCohortLogistic regressionOdds ratioGeneralized estimating equationOddsDemographyObstetricsPediatricsInternal medicineBiologyStatistics

Abstract

fetched live from OpenAlex

The purpose of this study was to determine whether registered nurses in specific areas of employment during pregnancy had a higher risk for congenital anomalies in their offspring. An offspring cohort (n = 22,611) was created through linkage of the British Columbia Vital Statistics Agency live and stillbirth records from 1986 to 2000, to a female cohort database of registered nurses. Of these, 16,005 (70.8%) were registered in a specific area of employment when pregnant. Odds ratios were calculated using generalized estimating equations (GEE), binary logistic regression with adjustment for sex, mother's age, and year of birth. Elevated risks of congenital anomalies were found for the singleton offspring of nurses employed in the following areas: operating rooms and pediatric nursing units (heart anomalies); maternal newborn units (integument); emergency room (respiratory system); and psychiatry (upper alimentary tract). Further research is needed to determine whether these are chance or consistent findings and whether exposure patterns might provide biological plausibility.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.244

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 head0.027
GPT teacher head0.282
Teacher spread0.255 · 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