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
National Bureau of Economic Research
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.

2,073 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.
2,073 works in the cohort · of 4,299,418page 41 of 42

Labels cover 12 of 2,073 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 2,073 of 2,073 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.

afffundunlabeled
Nonlinearities and a Pecking Order in Cross-border Investment
Sara B. Holland, Sergei Sarkissian, Michael J. Schill, Francis E. Warnock
2021· report· en· National Bureau of Economic Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Poor Quality Drugs and Global Trade: A Pilot Study
Roger Bate, Ginger Zhe Jin, Aparna Mathur, Amir Attaran
2014· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Trade and Investment in the Global Economy
James E. Anderson, Mario Larch, Yoto V. Yotov
2017· article· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Older Americans Would Work Longer If Jobs Were Flexible
John Ameriks, Joseph Briggs, Andrew Caplin, Min Joon Lee, Matthew D. Shapiro, Christopher Tonetti
2017· preprint· en· National Bureau of Economic Research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Political Economy of Indirect Control
Gerard Padró i Miquel, Pierre Yared
2010· report· en· National Bureau of Economic Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Putting the Cycle Back into Business Cycle Analysis
Paul Beaudry, Dana Galizia, Franck Portier
2016· article· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Idiosyncrasy as a Leading Indicator
Randall Mørck, Bernard Yeung, Lu Zhang
2022· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Tax Credits and the Use of Medical Care
Michael Smart, Mark Stabile
2003· article· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Origins of International Factor Structures
Zhengyang Jiang, Robert H. Richmond
2022· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Does Combating Corruption Reduce Clientelism?
Gustavo J. Bobonis, Paul Gertler, Marco Gonzalez-Navarro, Simeon Nichter
2023· report· en· National Bureau of Economic Research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Cohort Effects on Expected Co-Movement
William Goetzmann, Akiko Watanabe, Masahiro Watanabe
2022· report· en· National Bureau of Economic Research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Who Leaves? Teacher Attrition and Student Achievement
Donald Boyd, Pam Grossman, Hamilton Lankford, Susanna Loeb, James Wyckoff
2008· article· en· National Bureau of Economic Research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Solar Geoengineering, Learning, and Experimentation
David L. Kelly, Garth Heutel, Juan Moreno‐Cruz, Soheil Shayegh
2021· report· en· National Bureau of Economic Research· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
World Technology Usage Lags
Diego Comín, Bart Hobijn, Emilie Rovito
2006· article· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About