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
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
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.

1,052 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.
1,052 works in the cohort · of 4,299,418page 2 of 22

Labels cover 1 of 1,052 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 1,052 of 1,052 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
Music writing in medieval Iberia
Elsa De Luca
2020· article· Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Labour market and gender
2011· article· en· Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Recognition and Reparations
Francine Saillant
2016· article· pt· Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Conformidade e visualização arquitetural em linguagens dinâmicas
Sergio Miranda, Marco Túlio Valente, Ricardo Terra
2015· article· pt· Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
fundno affno abstractunlabeled
Ilhas do Mar Oceano
Edite Alberto, Luís Costa e Sousa
2019· book· pt· Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
LE DÉPLACEMENT COMME FIGURE DU ROMAN CHEZ NOËL AUDET.
Danielle Forget
2012· article· fr· Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Beyond Lean and the Working Environment
José Miguel Guerreiro Gonçalves
2017· dissertation· en· Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About