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
Topic
Statistical Methods and Inference
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.

1,935 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.
1,935 works in the cohort · of 4,299,418page 1 of 39

Labels cover 22 of 1,935 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 1,935 of 1,935 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.

affunlabeled
Sparsity and Smoothness Via the Fused Lasso
Robert Tibshirani, Michael A. Saunders, Saharon Rosset, Ji Zhu, Keith Knight
2004· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
2,805
citations
affunlabeled
Unconditional Quantile Regressions
Sérgio Firpo, Nicole M. Fortin, Thomas Lemieux
2009· article· en· Econometrica· Mathematics
machine prediction:candidate · noneconsensus · none
2,210
citations
affunlabeled
A significance test for the lasso
Richard Lockhart, Jonathan Taylor, Ryan J. Tibshirani, Robert Tibshirani
2014· article· en· The Annals of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
561
citations
afffundno abstractunlabeled
The wild bootstrap, tamed at last
Russell Davidson, Emmanuel Flachaire
2008· article· en· Journal of Econometrics· Mathematics
machine prediction:candidate · noneconsensus · none
502
citations
afffundunlabeled
Bootstrapping Clustered Data
Chris Field, A. H. Welsh
2007· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · metaresearchconsensus · none
369
citations
affunlabeled
Functional Additive Models
Hans‐Georg Müller, Fang Yao
2008· article· en· Journal of the American Statistical Association· Mathematics
machine prediction:candidate · noneconsensus · none
245
citations
affunlabeled
Length-Biased Sampling With Right Censoring
Masoud Asgharian, Cyr Emile M’lan, David B. Wolfson
2002· article· en· Journal of the American Statistical Association· Mathematics
machine prediction:candidate · noneconsensus · none
217
citations
afffundunlabeled
Adjusted Empirical Likelihood and its Properties
Jiahua Chen, Asokan Mulayath Variyath, Bovas Abraham
2008· article· en· Journal of Computational and Graphical Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
207
citations
afffundno abstractunlabeled
Bayesian Treed Models
Hugh Chipman, Edward I. George, Robert E. McCulloch
2002· article· en· Machine Learning· Mathematics
machine prediction:candidate · noneconsensus · none
184
citations
aboutno affunlabeled
Analysis of data with excess zeros
Peter A. Lachenbruch
2002· article· en· Statistical Methods in Medical Research· Mathematics
machine prediction:candidate · metaresearchconsensus · none
156
citations
affno abstractunlabeled
The power of bootstrap and asymptotic tests
Russell Davidson, James G. MacKinnon
2005· article· en· Journal of Econometrics· Mathematics
machine prediction:candidate · noneconsensus · none
123
citations
affunlabeled
Fitting competing risks with an assumed copula
Gabriel Escarela, Jacques F. Carriére
2003· article· en· Statistical Methods in Medical Research· Mathematics
machine prediction:candidate · noneconsensus · none
119
citations

How this was built: Screen · Findings · About