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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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Probability and Risk Models
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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.

682 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.
682 works in the cohort · of 4,299,418page 3 of 14

Labels cover 0 of 682 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 682 of 682 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.

afffundunlabeled
A risk model driven by Lévy processes
Manuel Morales, Wim Schoutens
2003· article· en· Applied Stochastic Models in Business and Industry· Decision Sciences
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Introduction to Rare‐Event Simulation
John Shortle, Pierre L’Ecuyer
2011· other· en· Wiley Encyclopedia of Operations Research and Management Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
31
citations
afffundno abstractunlabeled
On the distribution of cumulative Parisian ruin
Hélène Guérin, Jean‐François Renaud
2017· article· en· Insurance Mathematics and Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
30
citations
affno abstractunlabeled
Love and death: A Freund model with frailty
Christian Gouriéroux, Yang Lu
2015· article· en· Insurance Mathematics and Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
24
citations
afffundno abstractunlabeled
On the ordering of credibility factors
Jae Youn Ahn, Himchan Jeong, Yang Lu
2021· article· en· Insurance Mathematics and Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
19
citations

How this was built: Screen · Findings · About