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 16 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
Why Stars Matter
Ajay Agrawal, John McHale, Alex Oettl
2014· report· en· National Bureau of Economic Research· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
19
citations
afffundunlabeled
The Consumption Value of College
Yifan Gong, Lance Lochner, Ralph Stinebrickner, Todd Stinebrickner
2019· report· en· National Bureau of Economic Research· Social Sciences
machine prediction:candidate · noneconsensus · none
19
citations
aboutno affunlabeled
Why Does Working from Home Vary Across Countries and People?
Pablo Zarate, Mathias Dolls, Steven J. Davis, Nicholas Bloom, Jose Maria Barrero, Cevat Giray Aksoy
2024· report· en· National Bureau of Economic Research· Social Sciences
machine prediction:candidate · noneconsensus · none
19
citations
afffundaboutunlabeled
Cool cities: The value of urban trees
Lu Han, Stephan Heblich, Christopher Timmins, Yanos Zylberberg
2024· report· en· National Bureau of Economic Research· Environmental Science
machine prediction:candidate · noneconsensus · none
18
citations
fundno affunlabeled
Salience and Taxation with Imperfect Competition
Kory Kroft, Jean‐William Laliberté, René Leal-Vizcaíno, Matthew Notowidigdo
2020· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
A Measure of Risk Appetite for the Macroeconomy
Carolin Pflueger, Emil Siriwardane, Adi Sunderam
2018· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Cascades in Networks and Aggregate Volatility
Daron Acemoğlu, Asuman Ozdaglar, Alireza Tahbaz-Salehi
2010· article· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
citations
fundno affunlabeled
Globalization, the Business Cycle, and Macroeconomic Monitoring
S. Borağan Aruoba, Francis X. Diebold, M. Ayhan Köse, Marco E. Terrones
2010· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
citations
fundno affunlabeled
Consequences of Constitutions
Torsten Persson
2003· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Competition and Selection in Credit Markets
Constantine Yannelis, Anthony Lee Zhang
2021· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Expectations and Exchange Rate Policy
Michael Devereux, Charles Engel
2006· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Individual Price Adjustment along the Extensive Margin
Etienne Gagnon, David López‐Salido, Nicolas Vincent
2012· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Complementarities in Automobile Production
Johannes Van Biesebroeck
2006· report· en· National Bureau of Economic Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
17
citations
aboutno affgpt · no categorygrok · no categoryopus · no categorymodels agree
The Changing Incidence of Geography
James E. Anderson, Yoto V. Yotov
2008· article· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Trade-Policy Dynamics: Evidence from 60 Years of U.S.-China Trade
George Alessandria, Shafaat Yar Khan, Armen Khederlarian, Kim J. Ruhl, Joseph B. Steinberg
2021· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Interest Rate Uncertainty and Sovereign Default Risk
Alok Johri, Shahed U. M. Khan, César Sosa‐Padilla
2020· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations

How this was built: Screen · Findings · About