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
Annual Review of Statistics and Its Application
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.

24 results · 1 filter active ·
Results by year
20132025
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.
24 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 24 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 24 of 24 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Learning Deep Generative Models
Ruslan Salakhutdinov
2015· article· en· Annual Review of Statistics and Its Application· Computer Science
distilled prediction:candidate · noneconsensus · none
448
citations
affunlabeled
Review of State-Space Models for Fisheries Science
William H. Aeberhard, Joanna Mills Flemming, Anders Nielsen
2018· article· en· Annual Review of Statistics and Its Application· Environmental Science
distilled prediction:candidate · noneconsensus · none
96
citations
affunlabeled
Bayesian Computation Via Markov Chain Monte Carlo
Radu V. Craiu, Jeffrey S. Rosenthal
2013· article· en· Annual Review of Statistics and Its Application· Mathematics
distilled prediction:candidate · noneconsensus · none
77
citations
afffundunlabeled
Statistical Models of Key Components of Wildfire Risk
Dexen D. Z. Xi, Stephen Taylor, Douglas G. Woolford, C. B. Dean
2018· article· en· Annual Review of Statistics and Its Application· Environmental Science
distilled prediction:candidate · noneconsensus · none
65
citations
affunlabeled
League Tables for Hospital Comparisons
Sharon‐Lise T. Normand, Arlene S. Ash, Stephen E. Fienberg, Thérèse A. Stukel, Jessica Utts, Thomas A. Louis
2016· article· en· Annual Review of Statistics and Its Application· Mathematics
distilled prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Value of Information Analysis in Models to Inform Health Policy
Christopher Jackson, Gianluca Baio, Anna Heath, Mark Strong, Nicky J. Welton, Ed Wilson
2021· article· en· Annual Review of Statistics and Its Application· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Inverse Problems for Physics-Based Process Models
Derek Bingham, Troy Butler, Donald Estep
2023· article· en· Annual Review of Statistics and Its Application· Computer Science
distilled prediction:candidate · noneconsensus · none
22
citations
aboutno affunlabeled
Election Polls—A Survey, A Critique, and Proposals
Ron S. Kenett, Danny Pfeffermann, David M. Steinberg
2017· article· en· Annual Review of Statistics and Its Application· Social Sciences
distilled prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Extreme Value Analysis for Financial Risk Management
Natalia Nolde, Chen Zhou
2021· article· en· Annual Review of Statistics and Its Application· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
Using Longitudinal Complex Survey Data
Mary E. Thompson
2015· article· en· Annual Review of Statistics and Its Application· Mathematics
distilled prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Approximate Methods for Bayesian Computation
Radu V. Craiu, Evgeny Levi
2022· article· en· Annual Review of Statistics and Its Application· Mathematics
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Statistics in Phonetics
Shahin Tavakoli, Beatrice Matteo, Davide Pigoli, Eleanor Chodroff, John Coleman, Michele Gubian +2 more
2024· article· en· Annual Review of Statistics and Its Application· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Statistics for Animal Tracking Data
Vianey Leos‐Barajas, Ignacio Alvarez-Castro, Juan M. Morales
2025· article· en· Annual Review of Statistics and Its Application· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Statistical Learning for Functional Data
Jiguo Cao, Sidi Wu, Muye Nanshan, Haolun Shi, Liangliang Wang
2025· article· en· Annual Review of Statistics and Its Application· Materials Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Is There a Cap on Longevity? A Statistical Review
Léo R. Belzile, A. C. Davison, Jutta Gampe, Holger Rootzén, Dmitrii Zholud
2021· review· en· Annual Review of Statistics and Its Application· Social Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
afffundunlabeled
Six Statistical Senses
Radu V. Craiu, Ruobin Gong
2022· article· en· Annual Review of Statistics and Its Application· Mathematics
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About