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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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Market Dynamics and Volatility
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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.

2,530 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.
2,530 works in the cohort · of 4,299,418page 4 of 51

Labels cover 4 of 2,530 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 2,530 of 2,530 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
Machine learning gold price forecasting
Bingzi Jin, Xiaojie Xu
2025· article· en· International Journal of Management Science and Engineering Management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
54
citations
affunlabeled
Elections, Political Polarization, and Economic Uncertainty
Scott Baker, Aniket Baksy, Nicholas Bloom, Steven M. Davis, Jonathan Rodden
2020· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
51
citations
affunlabeled
Hotelling Under Pressure
Soren Anderson, Ryan Kellogg, Stephen W. Salant
2014· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
50
citations
affno abstractunlabeled
Policy Uncertainty, Investment, and the Cost of Capital
Wolfgang Drobetz, Sadok El Ghoul, Omrane Guedhami, Malte Janzen
2017· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
47
citations
venueno affunlabeled
The Spillover of Inflation among the G7 Countries
Khandokar Istiak, Aviral Kumar Tiwari, Humaira Husain, Kazi Sohag
2021· article· en· Journal of risk and financial management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Bitcoin option pricing with a SETAR-GARCH model
Tak Kuen Siu, Robert J. Elliott
2020· article· en· European Journal of Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
44
citations
afffundno abstractunlabeled
Explaining the Persistence of Commodity Prices
Serena Ng, Francisco J. Ruge‐Murcia
2000· article· en· Computational Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
44
citations

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