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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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Insurance Mathematics and Economics
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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.

213 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.
213 works in the cohort · of 4,299,418page 4 of 5

Labels cover 0 of 213 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 213 of 213 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
Diversification quotients based on VaR and ES
Xia Han, Liyuan Lin, Ruodu Wang
2023· article· en· Insurance Mathematics and Economics· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
Stackelberg equilibria with multiple policyholders
Mario Ghossoub, Michael B. Zhu
2024· article· en· Insurance Mathematics and Economics· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
On a risk model with claim investigation
Mirabelle Huynh, David Landriault, Tianxiang Shi, Gordon E. Willmot
2015· article· en· Insurance Mathematics and Economics· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
Bowley-optimal convex-loaded premium principles
Mario Ghossoub, Bin Li, Benxuan Shi
2025· article· en· Insurance Mathematics and Economics· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
afffundno abstractunlabeled
Analysis of the discounted sum of ascending ladder heights
Hélène Cossette, David Landriault, Étienne Marceau, Khouzeima Moutanabbir
2012· article· en· Insurance Mathematics and Economics· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Efficient evaluation of risk allocations
Christopher Blier-Wong, Hélène Cossette, Étienne Marceau
2025· article· en· Insurance Mathematics and Economics· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
IME’s Editorial Board
Rob Kaas, Roger J. A. Laeven, Sheldon S. Lin, Qihe Tang, Gordon E. Willmot, Hailiang Yang
2017· article· en· Insurance Mathematics and Economics· Social Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Automatic Fatou property of law-invariant risk measures
Shengzhong Chen, Niushan Gao, Denny H. Leung, Lei Li
2022· preprint· en· Insurance Mathematics and Economics· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
afffundno abstractunlabeled
A note on the convexity of ruin probabilities
David Landriault, Bin Li, Sooie-Hoe Loke, Gordon E. Willmot, Di Xu
2017· article· en· Insurance Mathematics and Economics· Decision Sciences
distilled prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About