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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.

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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.

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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.

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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 ·
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20002025
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Machine labels · sparse coverage
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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 40 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.

affunlabeled
Turnout Across Democracies
Helios Herrera, Massimo Morelli, Salvatore Nunnari
2014· preprint· en· National Bureau of Economic Research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
How Close is Asia to Already Being A Trade Bloc
Chunding Li, John Whalley
2014· article· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
On What States Do Prices Depend? Answers From Ecuador
Craig Benedict, Mario J. Crucini, Anthony Landry
2016· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Learning to Live in a Liquidity Trap
Jasmina Arifovic, Stephanie Schmitt‐Grohé, Martı́n Uribe
2017· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Recessions and Admissions to Substance Abuse Treatment
Jonathan Cantor, Brady P. Horn, Johanna Catherine Maclean
2013· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Measuring Margin
Robert McDonald
2013· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Are the Seeds of Bad Governance Sown in Good Times
Antoinette Schoar, Ebonya Washington
2011· article· en· National Bureau of Economic Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Technology Transfer through Imports
Ram C. Acharya, Wolfgang Keller
2007· article· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Collusion at the Extensive Margin
Martin C. Byford, Joshua S. Gans
2014· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
When Labor Has a Voice in Corporate Governance
Olubunmi Faleye, Vikas Mehrotra, Randall Mørck
2005· article· en· National Bureau of Economic Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Data Privacy for Record Linkage and Beyond
Shurong Lin, Eric D. Kolaczyk
2024· report· en· National Bureau of Economic Research· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Causes and Costs of Misallocation
Diego Restuccia, Richard Rogerson
2017· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Market Outcomes and Dynamic Patent Buyouts
Alberto Galasso, Matthew Mitchell, Gábor Virág
2014· preprint· en· National Bureau of Economic Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Is IPO Underperformance a Peso Problem
Andrew Ang, Li Gu, Yael V. Hochberg
2006· article· en· National Bureau of Economic Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
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