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
Journal d Analyse Mathématique
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.

40 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.
40 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 40 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 40 of 40 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.

affno abstractunlabeled
Finite configurations in sparse sets
Vincent Chan, Izabella Łaba, Malabika Pramanik
2016· article· fr· Journal d Analyse Mathématique· Mathematics
machine prediction:candidate · noneconsensus · none
40
citations
affno abstractunlabeled
Spectral (isotropic) manifolds and their dimension
Aris Daniilidis, Jérôme Malick, Hristo S. Sendov
2016· article· en· Journal d Analyse Mathématique· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Vector energy and large deviation
Thomas Bloom, N. Levenberg, F. Wielonsky
2015· article· fr· Journal d Analyse Mathématique· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Smallness sets for bounded holomorphic functions
Artur Nicolau, Jordi Pau, Pascal J. Thomas
2000· article· fr· Journal d Analyse Mathématique· Mathematics
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
The set-indexed Ito integral
Diane Saada, Dean Slonowsky
2004· article· fr· Journal d Analyse Mathématique· Mathematics
machine prediction:candidate · noneconsensus · none
7
citations
afffundno abstractunlabeled
Cyclic polynomials in anisotropic Dirichlet spaces
Greg Knese, Łukasz Kosiński, Thomas Ransford, Alan Sola
2019· preprint· fr· Journal d Analyse Mathématique· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Random polynomials in several complex variables
Turgay Bayraktar, Thomas Bloom, N. Levenberg
2023· article· en· Journal d Analyse Mathématique· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About