MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Menopause: Health Impacts and Treatments
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.

1,236 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.
1,236 works in the cohort · of 4,299,418page 19 of 25

Labels cover 12 of 1,236 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 1,236 of 1,236 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.

aboutno affunlabeled
Hormone Therapy for Menopausal Symptoms
Lorraine Steefel
2004· article· en· Clinical Nurse Specialist· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Executive Summary
Thirza Smith, Elizabeth Contestabile
2001· article· en· Journal SOGC· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/j.yend.2013.02.005
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affaboutunlabeled
Menopause Hormone Therapy: 2023 Update
Denise Black
2023· article· en· Canadian Primary Care Today· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Menopause Assessment Tool*
Nesé Yuksel
2010· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractgemma · no categorygpt · no categorymodels agree
A Phase-3, Randomized, Placebo-Controlled, 12-Week, Double-Blind Study to Assess Efficacy and Safety of Fezolinetant, a Neurokinin-3 Receptor Antagonist, in Women with Moderate-to-Severe Vasomotor Symptoms Associated with Menopause
Marla Shapiro, Kimball Johnson, Rossella E. Nappi, Genevieve Neal‐Perry, Petra Stute, Rebecca C. Thurston +5 more
2022· article· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Perceived Effects of Menopause Among Women Master Swimmers
Michael Ussher, Chloe Mount, Sarah Greenberg, Christine Goodair, Janette Perz
2009· article· en· International Journal of Aquatic Research and Education· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Estrogens, platelets and lysosomes
J. Polášek
2003· letter· en· Journal of Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Perimenopause
Elizabeth Contestabile, Christine Derzko
2001· article· fr· Journal SOGC· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
← previousnext →

How this was built: Screen · Findings · About