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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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Risk and Portfolio Optimization
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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.

710 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.
710 works in the cohort · of 4,299,418page 14 of 15

Labels cover 2 of 710 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 710 of 710 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Optimal screening with securities
Nicolás Figueroa, Nicolas Inostroza
2025· article· en· Journal of Economic Theory· Decision Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A Comparison of Range Value at Risk (RVaR) Forecasting Models
Fernanda Maria Müller, Thalles Weber Gössling, Samuel Solgon Santos, Marcelo Brutti Righi
2023· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Downside Risk Neutral Probabilities
Pierre Chaigneau, Louis Eeckhoudt
2015· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Adjusted Expected Shortfall
Matteo Burzoni, Cosimo Munari, Ruodu Wang
2020· preprint· en· Journal of Banking & Finance· Decision Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Partial Law Invariance and Risk Measures
Yi Shen, Zachary Van Oosten, Ruodu Wang
2025· article· en· Management Science· Decision Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
afffundgpt · no categorygrok · no categoryopus · no categorymodels agree
Measuring the lack of monotonicity in functions
Danang Teguh Qoyyimi, Ričardas Zitikis
2014· preprint· en· arXiv (Cornell University)· Decision Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Optimization Methods
Thomas F. Coleman, Yuying Li
2010· other· en· Encyclopedia of Quantitative Finance· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Méthodes de simulation stochastique
Étienne Marceau
2013· book-chapter· fr· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Deep Hedging with Market Impact
2024· article· en· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About