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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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Methodology And Computing In Applied Probability
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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.

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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.

86 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.
86 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 86 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 86 of 86 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.

affno abstractunlabeled
Properties of Distortion Risk Measures
Alejandro Balbás, José Garrido, Silvia Mayoral
2008· article· en· Methodology And Computing In Applied Probability· Decision Sciences
machine prediction:candidate · noneconsensus · none
116
citations
affno abstractunlabeled
Tail Risk of Multivariate Regular Variation
Harry Joe, Haijun Li
2010· article· en· Methodology And Computing In Applied Probability· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
63
citations
affno abstractunlabeled
Convergence of the SMC Implementation of the PHD Filte
Adam M. Johansen, Sumeetpal S. Singh, Arnaud Doucet, Ba‐Ngu Vo
2006· article· en· Methodology And Computing In Applied Probability· Computer Science
machine prediction:candidate · noneconsensus · none
53
citations
affno abstractunlabeled
Scaling Analysis of Delayed Rejection MCMC Methods
Mylène Bédard, Randal Douc, Éric Moulines
2013· article· en· Methodology And Computing In Applied Probability· Mathematics
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
Vector-Valued Tail Value-at-Risk and Capital Allocation
Hélène Cossette, Mélina Mailhot, Étienne Marceau, Mhamed Mesfioui
2015· article· en· Methodology And Computing In Applied Probability· Decision Sciences
machine prediction:candidate · noneconsensus · none
21
citations
afffundno abstractunlabeled
Analysis of B M A P/M S P/1 Queue
S. K. Samanta, M. L. Chaudhry, António Pacheco
2014· article· en· Methodology And Computing In Applied Probability· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Analysis of a Multivariate Claim Process
Qi‐Ming He, Jiandong Ren
2014· article· en· Methodology And Computing In Applied Probability· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations

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