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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
fundfunder
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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 8 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundno affunlabeled
A survey of high dimension low sample size asymptotics
Haipeng Shen, J. S. Marron, Dan Shen, Yi-Hui Zhou, Kazuyoshi Yata, Makoto Aoshima
2024· article· en· UNC Libraries· Decision Sciences
distilled prediction:candidate · metaresearchconsensus · none
3
citations
affunlabeled
Cramér–Lundberg Asymptotics
Jun Cai
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
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
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
affunlabeled
Approximating the Aggregate Claims Distribution
Mary R. Hardy
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
3
citations
affunlabeled
Compound Distributions
Xiaodong Lin
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
2
citations
affunlabeled
Dependent failures in highly reliable static networks
Zdravko I. Botev, Pierre L’Ecuyer, Bruno Tuffin
2012· article· en· Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)· Decision Sciences
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Convolutions of Distributions
Jun Cai
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
2
citations
affunlabeled
Aggregate Loss Modeling
Harry H. Panjer
2004· other· en· Encyclopedia of Actuarial Science· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
2
citations

How this was built: Screen · Findings · About