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 of Multivariate Analysis
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.

313 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.
313 works in the cohort · of 4,299,418page 2 of 7

Labels cover 1 of 313 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 313 of 313 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
Factor models for multivariate count data
Michel Wedel, Ulf Böckenholt, Wagner A. Kamakura
2003· article· en· Journal of Multivariate Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
58
citations
afffundno abstractunlabeled
On the dependence structure of order statistics
Jean Avérous, Christian Genest, Subhash C. Kochar
2004· article· en· Journal of Multivariate Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
52
citations
affno abstractunlabeled
High breakdown mixture discriminant analysis
Shaheena Bashir, E. M. Carter
2004· article· en· Journal of Multivariate Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
51
citations
fundno affno abstractunlabeled
Multivariate nonparametric test of independence
Yanan Fan, Pierre Lafaye de Micheaux, Spiridon Penev, Donna Salopek
2016· article· en· Journal of Multivariate Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
50
citations
affno abstractunlabeled
Densities of nested Archimedean copulas
Marius Hofert, David N. Pham
2013· article· en· Journal of Multivariate Analysis· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
49
citations
affno abstractunlabeled
A generalized Mahalanobis distance for mixed data
Alexander R. de Leon, Keumhee C. Carrière
2003· article· en· Journal of Multivariate Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
46
citations
afffundno abstractunlabeled
Truncation of vine copulas using fit indices
Eike Brechmann, Harry Joe
2015· article· en· Journal of Multivariate Analysis· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
41
citations
afffundno abstractunlabeled
On the family of multivariate chi-square copulas
Jean‐François Quessy, Louis‐Paul Rivest, Marie‐Hélène Toupin
2016· article· en· Journal of Multivariate Analysis· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
34
citations
affno abstractunlabeled
New Multivariate Product Density Estimators
Luc Devroye, Adam Krzyżak
2002· article· en· Journal of Multivariate Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
33
citations
← previousnext →

How this was built: Screen · Findings · About