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.

This cohort has 4,299,418 works, more than the 100,000-row export cap: the file will contain the first 100,000 ordered by OpenAlex id, and says so in its last line. Narrow the cohort, page the API, or rebuild the frame from the repository for the rest. 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.

4,299,418 results · 0 filters 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.
4,299,418 works in the cohort · of 4,299,418page 2,154 of 85,989

Labels cover 11,048 of 4,299,418 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 4,299,418 of 4,299,418 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.

fundno affunlabeled
Discovery of a Potent and Selective GPR120 Agonist
Bharat Shimpukade, Brian D. Hudson, Christine Kiel Hovgaard, Graeme Milligan, Trond Ulven
2012· article· en· Journal of Medicinal Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
162
citations
affunlabeled
Microbial biotransformation of DON: molecular basis for reduced toxicity
Alix Pierron, Sabria Mimoun, Letı́cia Sayuri Murate, Nicolas Loiseau, Yannick Lippi, Ana Paula Frederico Rodrigues Loureiro Bracarense +5 more
2016· article· en· Scientific Reports· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
162
citations
afffundunlabeled
Ethics of conducting research in conflict settings
Nathan Ford, Edward J. Mills, Rony Zachariah, Ross Upshur
2009· article· en· Conflict and Health· Health Professions
machine prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
162
citations
affno abstractunlabeled
Multi-robot collaboration for robust exploration
Ioannis Rekleitis, Gregory Dudek, Evangelos Milios
2001· article· en· Annals of Mathematics and Artificial Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
162
citations
affunlabeled
Management in Networks: On multi-actor decision making
J. A. de Bruijn, Ernst F. ten Heuvelhof
2008· book· en· Data Archiving and Networked Services (DANS)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
162
citations
affunlabeled
Deep Learning for Text Style Transfer: A Survey
Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea
2021· article· en· Computational Linguistics· Computer Science
machine prediction:candidate · noneconsensus · none
162
citations
affunlabeled
World Ordering
Emanuel Adler
2019· book· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
162
citations

How this was built: Screen · Findings · About