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
International Journal of Statistics and Probability
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.

621 results · 1 filter active ·
Results by year
20122025
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.
621 works in the cohort · of 4,299,418page 4 of 13

Labels cover 3 of 621 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 621 of 621 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundvenueunlabeled
Nonparametric Tests of Trend for Proportions
Mayer Alvo, Marie-Pascal Berthelot
2012· article· en· International Journal of Statistics and Probability· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
3
citations
venueno affunlabeled
Unsupervised Machine Learning for Co/Multimorbidity Analysis
Shatrunjai P. Singh, Swagata Karkare, Sudhir M. Baswan, Vijendra Singh
2018· article· en· International Journal of Statistics and Probability· Medicine
distilled prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
The Importance of Type II Error in Hypothesis Testing
Inmaculada Jiménez-Gamero, Mohamed Analla
2023· article· en· International Journal of Statistics and Probability· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
3
citations
venueno affunlabeled
The Extended Generalized Gamma Geometric Distribution
Juliano Bortolini, Marcelino A. R. Pascoa, Renato Ribeiro de Lima, Anderson Castro Soares de Oliveira
2017· article· en· International Journal of Statistics and Probability· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
2
citations
venueno affunlabeled
Large Sample Problems
Jai Won Choi, Balgobin Nandram
2021· article· en· International Journal of Statistics and Probability· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
2
citations
← previousnext →

How this was built: Screen · Findings · About