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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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Financial Markets and Investment Strategies
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,747 results · 1 filter active ·
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20002025
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Categories
Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,747 works in the cohort · of 4,299,418page 72 of 75

Labels cover 0 of 3,747 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 3,747 of 3,747 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
The Liquidity Discount in the Italian Market
Emanuel Bagna
2020· article· en· International Business Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Varning för Wolf Investment Solutions
jan
2011· article· en· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
The Odds of Profitable Market Timing
Luigi Buzzacchi, Luca Ghezzi
2021· article· en· Journal of risk and financial management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Institutions
2015· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Who Is Afraid of BlackRock?
Massimo Massa, David Schumacher, Yan Wang
2020· preprint· en· Review of Financial Studies· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editor's Letter
2007· article· en· The Journal of Trading· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
What Likely Range of My Wealth Will Be?
Raymond Kan, Guofu Zhou
2009· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Essays in finance
2024· dissertation· en· London School of Economics and Political Science Theses Online (London School of Economics and Political Science)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Consumer Sentiment Stalled
2014· article· en· Chapman University Digital Commons (Chapman University)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Idiosyncrasy as a Leading Indicator
Randall Mørck, Bernard Yeung, Lu Zhang
2022· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Comovement and S&P 500 membership
Joseph DeCoste
2025· article· en· Global Finance Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
AI availability and U.S. corporate bond markets
Feng Gao, Shuo Liu, Chuleng Qiu
2025· article· en· Journal of Financial Markets· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Investor attention and the behavior of stock markets
Paulo Fernando Marschner
2023· dissertation· pt· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Performance fees and hedge fund return dynamics
Serge Darolles, Christian Gouriéroux
2015· article· en· International Journal of Approximate Reasoning· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Essays on Empirical Asset Pricing
2019· dissertation· en· Purdue· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Crowded spaces and anomalies
Ludwig B. Chincarini, Renato Lazo-Paz, Fabio Moneta
2025· article· en· Journal of Banking & Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1145/3768292.3793397
AI Generated
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3768292.3793405
AI Generated
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About