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Record W4399080851 · doi:10.1007/s10654-024-01126-4

Stress and anxiety during pregnancy and length of gestation: a federated study using data from five Canadian and European birth cohorts

2024· article· en· W4399080851 on OpenAlexafffundabout
Julie Bergeron, Demetris Avraam, Lucinda Calas, William Fraser, Jennifer R. Harris, Barbara Heude, Piush J. Mandhane, Theo J. Moraes, Gina Muckle, Johanna Nader, Jean R. Séguin, Elinor Simons, Padmaja Subbarao, Morris A. Swertz, Suzanne Tough, Stuart E. Turvey, Isabel Fortier, Naja Hulvej Rod, Anne‐Marie Nybo Andersen

Bibliographic record

VenueEuropean Journal of Epidemiology · 2024
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversity of British ColumbiaUniversity of CalgaryUniversity of ManitobaUniversité de MontréalHospital for Sick ChildrenSickKids FoundationUniversité de SherbrookeUniversity of TorontoBC Children's HospitalUniversité LavalUniversity of AlbertaCentre Hospitalier Universitaire Sainte-JustineMcGill University Health Centre
FundersCopenhagen Graduate School for Nanoscience and NanotechnologyKøbenhavns UniversitetCanadian Institutes of Health ResearchEuropean Commission
KeywordsMedicineAnxietyPregnancyGestationPublic healthEpidemiologyObstetricsDemographyPsychiatryInternal medicineNursing

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.002
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 score0.020
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.084
GPT teacher head0.345
Teacher spread0.261 · 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

Citations7
Published2024
Admission routes3
Has abstractyes

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