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Record W2088661622 · doi:10.1016/j.jmwh.2003.11.004

Women’s experiences of unexpected ultrasound findings

2004· article· en· W2088661622 on OpenAlexaffabout
Lisa M. Mitchell

Bibliographic record

VenueJournal of Midwifery & Women s Health · 2004
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsUltrasoundQualitative researchPrenatal ultrasoundMedicinePsychologyObstetricsFamily medicineClinical psychologyPrenatal diagnosisPregnancyFetusRadiologySociology

Abstract

fetched live from OpenAlex

Ultrasound imaging is an important screening and diagnostic tool in prenatal care, but for many couples in Canada and the United States, it is primarily a meaningful social ritual of seeing and meeting their baby. This article examines how women perceive ultrasound when they receive unexpected abnormal ultrasound findings. Drawing from qualitative analysis of semistructured interviews with 42 Canadian women, the article discusses women's reactions to receiving unexpected findings, and their perspectives on disclosure of results and on seeing the impaired fetus. Implications are discussed for practitioners regarding prescan counseling, informed choice, and disclosure of abnormal ultrasound findings.

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)0.006
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.007
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.293
Teacher spread0.275 · 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 designQualitative
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

Citations59
Published2004
Admission routes2
Has abstractyes

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