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Record W7073854406

Early Morbidity and Mortality Following In Utero Exposure to Selective Serotonin Reuptake Inhibitors: A population-based study in Western Australia

2012· article· en· W7073854406 on OpenAlexaff

Bibliographic record

VenueUWA Profiles and Research Repository (University of Western Australia) · 2012
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsIn uteroPregnancyDepression (economics)Serotonin reuptake inhibitorLongitudinal dataLongitudinal studyRecord linkage
DOInot available

Abstract

fetched live from OpenAlex

Abstract Background: The early years of life have a profound effect on a child’s devel-opmental pathway. The children born to mothers suffering from depression may be at risk of increased morbidity and mortality in the first years of life. Objective: The objective of this study was to investigate the hospital admis-sions and mortality of children whose mothers were dispensed a selective serotonin reuptake inhibitor (SSRI) during their pregnancy. Methods: This was a population-based study of all pregnancy events in Western Australia (WA) from 2002 to 2005. The study used linkable state health administrative data from the WA Data Linkage System (WADLS) and the national Pharmaceutical Benefits Scheme (PBS), enabling birth out-comes, hospital admissions and deaths to be ascertained for the children of women dispensed an SSRI during their pregnancy. Results: There were 3764 children born to 3703 women who had been dis-pensed an SSRI during their pregnancy (3.8 % of all pregnancies in WA, 2002–5), and 94 561 children born to 92 995 women who had not been dis-

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)0.001
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 score0.046
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.105
GPT teacher head0.370
Teacher spread0.264 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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