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
SSRN Electronic Journal
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.

37,702 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.
37,702 works in the cohort · of 4,299,418page 73 of 755

Labels cover 42 of 37,702 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 37,702 of 37,702 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.

affno abstractunlabeled
Information Asymmetries in Pay-Per-Bid Auctions
John W. Byers, Michael Mitzenmacher, Georgios Zervas
2010· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Raising Taxes through Equalization
Michael Smart
2007· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Why Do Hedgers Trade So Much?
Ing-Haw Cheng, Wei Xiong
2013· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Rediscovering the CCAPM Lost in Data Revisions
Hui Guo, Yu‐Jou Pai
2019· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Emergence and Future of Central Counterparties
Thorsten V. Koeppl, Cyril Monnet
2010· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
University Licensing and the Flow of Scientific Knowledge
Neil Thompson, Arvids A. Ziedonis, David C. Mowery
2016· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · scholarly_communicationconsensus · none
10
citations
affno abstractunlabeled
Investor Overconfidence and the Forward Premium Puzzle
Craig Burnside, Bing Han, David Hirshleifer, Tracy Yue Wang
2010· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
The Great Diversification and its Undoing
Vasco M. Carvalho, Xavier Gabaix
2010· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
How Superadditive Can a Risk Measure Be?
Ruodu Wang, Valeria Bignozzi, Andreas Tsanakas
2013· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Premature Deaths, Accidental Bequests and Fairness
Marc Fleurbaey, Pierre Pestieau, Grégory Ponthière, Stéphane Zuber
2018· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
A Political Theory of Populism
Daron Acemoğlu, Georgy Egorov, Konstantin Sonin
2010· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Global vs. Local ESG Ratings: Evidence from China
Jeff Zeyun Chen, Zengquan Li, Ting Mao, Aaron Yoon
2022· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About