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
Science
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.

2,862 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.
2,862 works in the cohort · of 4,299,418page 40 of 58

Labels cover 5 of 2,862 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 2,862 of 2,862 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
Taking stock of global fisheries
Rainer Froese, Daniel Pauly
2024· letter· en· Science· Environmental Science
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Chiral anomaly without relativity
A. A. Burkov
2015· letter· en· Science· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Transcription factors read epigenetics
Timothy R. Hughes, Samuel A. Lambert
2017· letter· en· Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Weather makers
Fred Pearce
2020· article· en· Science· Environmental Science
machine prediction:candidate · noneconsensus · none
20
citations
affaboutunlabeled
Selling First Nations down the river
Jonathan W. Moore, Charmaine Carr‐Harris, Allen S. Gottesfeld, Donna Macintyre, David Radies, Mark Cleveland +5 more
2015· letter· en· Science· Social Sciences
machine prediction:candidate · noneconsensus · none
20
citations
aboutno affunlabeled
A record of ice sheet demise
Shaun A. Marcott, Jeremy D. Shakun
2017· letter· en· Science· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
20
citations
aboutno affunlabeled
Concerns for ozone recovery
Qing Liang, S. E. Strahan, Eric L. Fleming
2017· article· en· Science· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Falling star
Sofia Moutinho, Herton Escobar
2022· article· en· Science· Social Sciences
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
The Plan to Unlock Lake Vostok
Mason Inman
2005· article· en· Science· Environmental Science
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Glacier retreat crosses a line
Shawn J. Marshall
2014· letter· en· Science· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
19
citations
aboutno affunlabeled
Forest health in a changing world
Andrew M. Sugden, Julia Fahrenkamp-Uppenbrink, David Malakoff, Sacha Vignieri
2015· article· en· Science· Environmental Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Stepping It Up
John R. Scheffer, Carl Scott
2001· article· en· Science· Materials Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
A New Twist for Electron Beams
Rodney Herring
2011· letter· en· Science· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
A most unusual (super)predator
Boris Worm
2015· letter· en· Science· Environmental Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
A deadly amphibian disease goes global
Dan A. Greenberg, Wendy J. Palen
2019· letter· en· Science· Environmental Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Modeling the Solar Dynamo
Paul Charbonneau, Piotr K. Smolarkiewicz
2013· article· en· Science· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
The Diffusion of Microfinance
Abhijit Banerjee, Arun G. Chandrasekhar, Esther Duflo, Matthew O. Jackson
2012· preprint· en· Science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
A matter of trust
Matthew Hutson
2017· article· en· Science· Engineering
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
One for All?
Brian E. Ellis, Godfrey P. Miles
2001· letter· en· Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Finding Fault in Fault Zones
Kelin Wang
2010· letter· en· Science· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
16
citations

How this was built: Screen · Findings · About