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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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Stochastic processes and financial applications
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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.

1,930 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.
1,930 works in the cohort · of 4,299,418page 36 of 39

Labels cover 4 of 1,930 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 1,930 of 1,930 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.

afffundno abstractunlabeled
Star-cumulants of free unitary Brownian motion
Nizar Demni, Mathieu Guay-Paquet, Alexandru Nica
2015· preprint· en· Advances in Applied Mathematics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1145/3768292.3793407
AI Generated
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Controlled Discrete-Time Semi-Markov Random Evolutions
Nikolaos Limnios, Anatoliy Swishchuk
2023· book-chapter· en· Probability and its applications· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Wiener Chaos and the Cox-Ingersoll-Ross model
Matheus R. Grasselli, T. R. Hurd
2003· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Option Pricing under Randomised GBM Models
Giuseppe Campolieti, Hideaki Kiyoshi Kato, Roman N. Makarov
2021· article· en· Review of Business and Economics Studies· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
The Bench Transition System and Stochastic Exploration
Dawson Tomasz, Richard Valenzano
2024· article· en· Proceedings of the International Symposium on Combinatorial Search· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Improving Lattice Schemes Through Bias Reduction
Michel Denault, Geneviève Gauthier, Jean‐Guy Simonato
2005· article· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Filtering a discrete time price process
Robert J. Elliott, William C. Hunter
2002· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About