MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Pregnancy and preeclampsia studies
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,744 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,744 works in the cohort · of 4,299,418page 18 of 75

Labels cover 13 of 3,744 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 3,744 of 3,744 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

fundaboutno affunlabeled
Timing of Delivery in Women With Chronic Hypertension
Maya Ram, Howard Berger, Michael Geary, Sarah D. McDonald, Beth Murray‐Davis, Catherine Riddell +3 more
2018· article· en· Obstetrics and Gynecology· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
afffundaboutunlabeled
Preterm preeclampsia in relation to country of birth
Joel G. Ray, Susitha Wanigaratne, A L Park, Emily Bartsch, Susie Dzakpasu, Marcelo L. Urquía
2016· article· en· Journal of Perinatology· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
Impacts of Preeclampsia on the Brain of the Offspring
Frances Dang, B. Anne Croy, Patrick W. Stroman, Ernesto Antônio Figueiró-Filho
2016· review· en· Revista Brasileira Ginecologia e Obstetrícia· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
afffundvenueno abstractunlabeled
The Pulmonary Edema Preeclampsia Evaluation (PEPE) Study
Shital Gandhi, Dongmei Sun, Alison L. Park, Michelle Hladunewich, Candice K. Silversides, Joel G. Ray
2014· article· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
32
citations

How this was built: Screen · Findings · About