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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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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.

183 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.
183 works in the cohort · of 4,299,418page 2 of 4

Labels cover 1 of 183 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 183 of 183 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
Bent-cable asymptotics when the bend is missing
Grace S. Chiu, Richard Lockhart, Richard Routledge
2002· article· en· Statistics & Probability Letters· Mathematics
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
A kernel-based combined classification rule
Majid Mojirsheibani
2000· article· en· Statistics & Probability Letters· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
afffundno abstractunlabeled
Nonparametric recursive quantile estimation
Michael Köhler, Adam Krzyżak, Harro Walk
2014· article· en· Statistics & Probability Letters· Decision Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Partial monotonicity of entropy measures
Dhruv Shangari, Jiahua Chen
2012· article· en· Statistics & Probability Letters· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
8
citations
afffundno abstractunlabeled
Testing variances in wavelet regression models
Alwell J. Oyet, Brajendra C. Sutradhar
2002· article· en· Statistics & Probability Letters· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Trimmed sums of long range dependent moving averages
Rafał Kulik, Mohamedou Ould Haye
2008· article· en· Statistics & Probability Letters· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
7
citations
afffundno abstractunlabeled
Missing responses in adaptive allocation design
Atanu Biswas, J. N. K. Rao
2004· article· en· Statistics & Probability Letters· Mathematics
machine prediction:candidate · metaresearchconsensus · none
7
citations
afffundno abstractunlabeled
Forward–backward SDEs and the CIR model
Cody Hyndman
2007· article· en· Statistics & Probability Letters· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
7
citations
afffundno abstractunlabeled
On extending classical filtering equations
Michael A. Kouritzin, Hongwei Long
2008· article· en· Statistics & Probability Letters· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
afffundno abstractunlabeled
Dividend barrier strategy: Proceed with caution
Kristina P. Sendova, Chen Yang, Ruixi Zhang
2018· article· en· Statistics & Probability Letters· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Slow hit-and-run sampling
Claude Bélisle
2000· article· en· Statistics & Probability Letters· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
afffundno abstractunlabeled
Adaptive signal recovery with Subbotin noise
Joshua C. Miller, Natalia A. Stepanova
2023· article· en· Statistics & Probability Letters· Mathematics
machine prediction:candidate · noneconsensus · none
4
citations

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