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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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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
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 21 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.

venueaboutno affunlabeled
Checking validity of monotone domain mean estimators
Cristian Oliva‐Aviles, Mary C. Meyer, Jean D. Opsomer
2019· preprint· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Issue Information
2020· paratext· en· Canadian Journal of Statistics· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affunlabeled
Issue Information
2018· paratext· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Editorial
Johanna Nešlehová
2022· editorial· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
fundvenueno affno abstractunlabeled
Issue Information
2023· paratext· en· Canadian Journal of Statistics· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueaboutunlabeled
A conversation with Nancy Reid
Radu V. Craiu, Grace Y. Yi
2022· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Issue Information
2023· paratext· en· Canadian Journal of Statistics· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affunlabeled
Distance‐based depths for directional data
Giuseppe Pandolfo, Davy Paindaveine, Giovanni C. Porzio
2018· preprint· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Modeling biological data: Several vignettes
Christopher A. Field
2008· article· en· Canadian Journal of Statistics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Issue Information
2025· paratext· en· Canadian Journal of Statistics· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Cover ‐ Volume 44, Number 1, March 2016
2016· article· en· Canadian Journal of Statistics· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affunlabeled
Issue Information
2021· paratext· en· Canadian Journal of Statistics· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Blind nonparametric regression
Isabel Cañette
2001· article· en· Canadian Journal of Statistics· Computer Science
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
venueno affno abstractunlabeled
Rapport du rédacteur en chef
Douglas P. Wiens
2006· article· fr· Canadian Journal of Statistics· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About