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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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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 61 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.

affunlabeled
PRECAUTIONARY LEARNING AND INFLATIONARY BIASES
Chetan Dave, James Feigenbaum
2018· preprint· en· Macroeconomic Dynamics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Robust Unit Root Tests for a Panel TAR Model
Dong-Wan Shin
2011· article· en· Korean Journal of Applied Statistics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Weekly Options on Grain Futures
Matthew A. Diersen, Zhiguang Wang
2025· article· en· Journal of Agricultural and Applied Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
EXCHANGE RATE MISALIGNMENTS IN ASEAN-5 COUNTRIES
Azali Mohamed
2016· article· en· Labuan Bulletin of International Business and Finance (LBIBF)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Currency Crises and Growth
Arafat Hamida
2018· article· en· International Journal of Economics and Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The World Economy
2004· article· en· National Institute Economic Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
The All‐Gap Phillips Curve
James McNeil, Gregor W. Smith
2022· article· en· Oxford Bulletin of Economics and Statistics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Fisher, Irving
Robert W. Dimand
2010· other· en· Encyclopedia of Quantitative Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Benchmark Forecast and Error Modeling
Zhao‐Guo Chen, Ka Ho Wu
2016· article· en· Journal of Forecasting· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Discours narratif et conjoncture économique
Elíes Furió Blasco
2010· article· fr· Meta Journal des traducteurs· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
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