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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.

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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
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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 11 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.

affvenueaboutunlabeled
Planning and analysis of measurement reliability studies
Stefan Steiner, Nathaniel T. Stevens, Ryan P. Browne, Robert J. MacKay
2011· article· en· Canadian Journal of Statistics· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
6
citations
venueaboutno affunlabeled
Sequential design for nonparametric inference
Zhibiao Zhao, Weixin Yao
2012· article· en· Canadian Journal of Statistics· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
afffundvenueunlabeled
Dynamic treatment regimes with interference
Cong Jiang, Michael P. Wallace, Mary E. Thompson
2022· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Flexible regression modeling
Peter Hooper
2001· article· en· Canadian Journal of Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
afffundvenueunlabeled
Local influence in multilevel models
Лей Ши, Gemai Chen
2008· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Testing normality of spatially indexed functional data
Siegfried Hörmann, Piotr Kokoszka, Thomas Kuenzer
2021· article· en· Canadian Journal of Statistics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Principal component‐guided sparse regression
J. Kenneth Tay, Jerome H. Friedman, Robert Tibshirani
2021· preprint· en· Canadian Journal of Statistics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
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