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
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.

407 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.
407 works in the cohort · of 4,299,418page 9 of 9

Labels cover 407 of 407 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 407 of 407 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affno abstractgemma · no categorygpt · scholarly_communication+stsmodels split
The British Columbia Federationist
2017· article· en· Open Collections· Social Sciences
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · none
0
citations
affgemma · scholarly_communicationgpt · scholarly_communicationmodels split
How Discovery Systems Use DataCite Metadata: Harvester Roundtable
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communicationconsensus · scholarly_communication
0
citations
affgemma · scholarly_communication+open_sciencegpt · scholarly_communication+open_sciencemodels agree
Publishing (and Forgetting) the Small or Medium-sized Scholarly Edition or Cultural Heritage Collection as Linked Open Data: Using Zenodo and Github to Publish the Visionary Cross Project (Abstract)
Daniel Paul O’Donnell, Gurpreet Singh, Dot Porter, Roberto Rosselli Del Turco, Marco Callieri, Matteo Dellepiane +1 more
2018· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+open_scienceconsensus · scholarly_communication+open_science
0
citations
affno abstractgemma · no categorygpt · scholarly_communicationmodels split
Systematic reviews: knowledge translation?
Carlos Flores‐Mir
2016· review· en· Dental Press Journal of Orthodontics· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+metaepi_broad+scholarly_communication+insufficient_payloadconsensus · metaresearch+metaepi_broad+insufficient_payload
0
citations
affvenueaboutgemma · metaresearch+bibliometrics+open_sciencegpt · scholarly_communication+open_sciencemodels split
Towards Sustainable and Coordinated Methods for Estimating Open Access Costs at Canadian Higher Education Institutions
Madelaine Hare, Leigh-Ann Butler, Stephanie Savage
2025· article· en· Canadian Journal of Information and Library Science· Decision Sciences
distilled prediction:candidate · metaresearch+bibliometrics+sts+scholarly_communicationconsensus · bibliometrics+scholarly_communication
0
citations
← previous

How this was built: Screen · Findings · About