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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.

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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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Canadian Journal of Statistics
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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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venuejournal
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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.

1,050 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,050 works in the cohort · of 4,299,418page 18 of 21

Labels cover 18 of 1,050 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 1,050 of 1,050 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.

venueno affunlabeled
Smooth estimates of normal mixtures
Barbara Tong, Kert Viele
2000· article· en· Canadian Journal of Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueaboutunlabeled
On the use of priors in goodness‐of‐fit tests
Alberto Contreras‐Cristán, Richard Lockhart, Michael A. Stephens, Shaun Zheng Sun
2019· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Unaliasing of aliased line component frequencies
Azadeh Moghtaderi, Glen Takahara, David J. Thomson
2010· article· en· Canadian Journal of Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueaboutunlabeled
Was the conservative majority predictable?
Jeffrey S. Rosenthal
2011· article· en· Canadian Journal of Statistics· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Projection de hájek et polynômes de bernstein
Marc Hallin, Amal Mellouk, Khalid Rifi
2001· article· fr· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueunlabeled
The linear Lasso: A location model approach
D. A. S. Fraser, Mylène Bédard
2022· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueaboutunlabeled
Prior‐based model checking
Luai Al‐Labadi, Michael Evans
2018· preprint· en· Canadian Journal of Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueunlabeled
Cramér-von Mises regression
Kilani Ghoudi, David McDonald
2000· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Extrapolation designs with constraints
Zhide Fang
2003· article· en· Canadian Journal of Statistics· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Matching distributions for survival data
Qiang Jiang, Yifan Xia
2021· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Canadian contributions to environmetrics
C. B. Dean, A. H. El‐Shaarawi, Sylvia R. Esterby, Joanna Mills Flemming, Richard Routledge, Stephen Taylor +3 more
2022· article· en· Canadian Journal of Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
fundvenueno affunlabeled
Rerandomization and optimal matching
John D. Kalbfleisch, Zhenzhen Xu
2023· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Issue Information
Fang Yao
2019· paratext· en· Canadian Journal of Statistics· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affunlabeled
Estimating prediction error for complex samples
Andrew J. Holbrook, Thomas Lumley, Daniel L. Gillen
2019· preprint· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueunlabeled
Restricted Tweedie stochastic block models
節子 春間, Mu Zhu, Peijun Sang
2025· article· en· Canadian Journal of Statistics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Issue Information
2022· paratext· en· Canadian Journal of Statistics· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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