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
Health Science Inquiry
Topic
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.

217 results · 1 filter active ·
Results by year
20102025
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.
217 works in the cohort · of 4,299,418page 1 of 5

Labels cover 1 of 217 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 217 of 217 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.

affvenueunlabeled
Digital health in a broadband land
Wuyou Sui, Danica Facca
2020· article· en· Health Science Inquiry· Social Sciences
machine prediction:candidate · noneconsensus · none
20
citations
affvenueaboutunlabeled
Untangling complexity as a health determinant
Samuel Petrie, Paul Peters
2020· article· en· Health Science Inquiry· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
14
citations
affvenueunlabeled
The information theory of aging
Aleksandar Vujin, Kevin Dick
2020· article· en· Health Science Inquiry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
7
citations
affvenueunlabeled
Vaccines in the 21st century
Umair Majid, Mobeen Ahmad
2020· article· en· Health Science Inquiry· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affvenueaboutunlabeled
Vaccination policy strategies in Ontario
Ankur Chhabra
2020· article· en· Health Science Inquiry· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
fundvenueno affunlabeled
H1N1 Brand Power: Marketing a Disaster
J. F. Huntington, Amanda M. Jones
2010· article· en· Health Science Inquiry· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Koko
Karissa Becknel
2020· article· en· Health Science Inquiry· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affvenueunlabeled
Shifting the birth weight paradigm
Loae Khir, Raywat Deonandan
2019· article· en· Health Science Inquiry· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Hand hygiene
Tishani Sritharan
2020· article· en· Health Science Inquiry· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
From working with animals to humans
Supriya Hota
2020· article· en· Health Science Inquiry· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
The gut-brain axis and microbial therapeutics
Arthi Chinna Meyyappan
2020· article· en· Health Science Inquiry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
The rise of electronic cigarettes
Simran Bhullar
2020· article· en· Health Science Inquiry· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Health Science Inquiry in review
Kevin Dick
2020· article· en· Health Science Inquiry· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
next →

How this was built: Screen · Findings · About