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Record W4410876379 · doi:10.1016/j.cjco.2025.04.055

Incidence of Cardiometabolic-Associated Reproductive Events (CARE) Over 2010-2020 in Alberta, Canada

2025· article· en· W4410876379 on OpenAlexaboutno aff
Kunal Bali, B. Eckert, Zixiang Liu, Elizabeth Martin, C. Job-McIntosh, Amy Metcalfe, J. Negre, Kahra Nix, Aniqa Shahid, Danielle A. Southern, T. Lee‐Ann Hawkins, M. Vlasschaert, Kara Nerenberg

Bibliographic record

VenueCJC Open · 2025
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsIncidence (geometry)GeographyMedicineDemographyEnvironmental healthSociology

Abstract

fetched live from OpenAlex

Several common reproductive events have important maternal cardiometabolic health impacts beyond pregnancy. These cardiometabolic-associated reproductive events (CARE; ie, hypertensive disorders of pregnancy [HDP], gestational diabetes, preterm delivery, abruption, birthweight < 2500 g) identify women at increased risk of premature cardiometabolic morbidity (hypertension, dysglycemia, obesity, cardiovascular diseases, etc). This study’s objective was to describe the incidence in CARE over 2010-2020 in Alberta, Canada, as a foundational step in developing a provincial cardiometabolic health promotion pathway.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.039
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.311
Teacher spread0.297 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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