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
Canadian Journal of Statistics
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.

1,050 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.
1,050 works in the cohort · of 4,299,418page 15 of 21

Labels cover 18 of 1,050 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 1,050 of 1,050 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.

afffundvenueaboutunlabeled
Model‐based linear clustering
Guohua Yan, William J. Welch, Ruben H. Zamar
2010· article· en· Canadian Journal of Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
The conditional distance autocovariance function
Qiang Zhang, Wenliang Pan, Chengwei Li, Xueqin Wang
2021· article· en· Canadian Journal of Statistics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Doubly robust criterion for causal inference
Takamichi Baba, Yoshiyuki Ninomiya
2025· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · metaresearchconsensus · none
2
citations
affvenueunlabeled
Correlation in a Bayesian framework
Anirban Dasgupta, George Casella, Mohan Delampady, Christian Genest, William E. Strawderman, Herman Rubin
2000· article· en· Canadian Journal of Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
PCA Rerandomization
Hengtao Zhang, Guosheng Yin, Donald B. Rubin
2023· preprint· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
afffundvenueunlabeled
Continuum centroid classifier for functional data
Zhiyang Zhou, Peijun Sang
2021· article· en· Canadian Journal of Statistics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About