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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.

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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Monetary Policy and Economic Impact
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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.

affaffiliation
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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.

3,739 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.
3,739 works in the cohort · of 4,299,418page 50 of 75

Labels cover 9 of 3,739 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 3,739 of 3,739 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.

venueno affunlabeled
Hedging Against U.S. Chinese Currency Fluctuation
Marissa Black
2018· article· en· Journal of Applied Business and Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Mixed Signals Among Tests for Panel Cointegration
Joakim Westerlund, Syed Abul Basher
2007· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Do Inflation Targeters Outperform Non-Targeters?
Michael J. Dueker, Andreas M. Fischer
2006· dataset· en· ICPSR Data Holdings· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Firms' Optimism and Pessimism
Steffen Elstner
2013· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Identification of Technology Shocks in Structural VARs
Patrick Fève, Alain Guay
2006· preprint· en· Toulouse Capitole Publications (University Toulouse 1 Capitole)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Money/asset ratio as a predictor of inflation
Duc Nguyen Minh
2024· article· en· The Quarterly Review of Economics and Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Demographics and the Demand for Currency
Geoffrey R. Dunbar
2021· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Testing the Unemployment Hysteresis for G-20 Countries
Veli Yılancı, Mahmut Ünsal Şaşmaz
2018· book-chapter· en· Advances in logistics, operations, and management science book series· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Sufficiency’s Small Steps Forward in Canada
Anders Hayden
2014· book-chapter· en· McGill-Queen's University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Markov-Switching Mixed-Frequency VAR Models
Claudia Foroni, Pierre Guérin, Massimiliano Marcellino
2014· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

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