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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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venuejournal
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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 15 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.

aboutno affunlabeled
Cointegrating Regressions with Time Heterogeneity
Chang Sik Kim, Joon‐Young Park
2010· article· en· Econometric Reviews· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affvenueunlabeled
Stationary Threshold Vector Autoregressive Models
Galyna Grynkiv, Lars Stentoft
2018· article· en· Journal of risk and financial management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affaboutunlabeled
Trade Flows and Fiscal Multipliers
Matteo Cacciatore, Nora Traum
2020· article· en· The Review of Economics and Statistics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
aboutno affno abstractunlabeled
Nowcasting New Zealand GDP using machine learning algorithms
Adam Richardson, Thomas van Florenstein Mulder, Tuğrul Vehbi
2018· preprint· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
aboutno affunlabeled
Why Is Canada's Price Level So Predictable?
Ondra Kamenik, Heesun Kiem, Vladimir Klyuev, Douglas Laxton
2013· article· en· Journal of money credit and banking· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Central bank transparency: Does it matter?
Hyuk Jae Rhee, Nurlan Turdaliev
2012· article· en· International Review of Economics & Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
afffundunlabeled
Real Exchange Rates and Sectoral Productivity in the Eurozone
Martin Berka, Michael B. Devereux, Charles Engel
2014· article· en· Federal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
The Timing of Central Bank Communication
Michael Ehrmann, Marcel Fratzscher
2005· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
aboutno affunlabeled
Inflation: mind the gap
Zheng Liu, Glenn D. Rudebusch
2010· article· en· FRB SF weekly letter· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Real exchange rates may have nonlinear trends
David O. Cushman
2007· article· en· International Journal of Finance & Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Did the Bundesbank React to Stock Price Movements?
Martin T. Bohl, Pierre L. Siklos, Thomas Werner
2003· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Spot and Forward Volatility in Foreign Exchange
Pasquale Della Corte, Lucio Sarno, Ilias Tsiakas
2010· article· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
15
citations
aboutno affunlabeled
A century of macro-financial linkages
Kim Abildgren
2016· article· en· Journal of Financial Economic Policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
15
citations
afffundaboutunlabeled
Bootstrap inference under cross‐sectional dependence
Timothy G. Conley, Śılvia Gonçalves, Min Seong Kim, Benoît Perron
2023· article· en· Quantitative Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
15
citations

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