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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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Advanced Statistical Methods and 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
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,193 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.
1,193 works in the cohort · of 4,299,418page 5 of 24

Labels cover 6 of 1,193 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 1,193 of 1,193 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.

afffundvenueunlabeled
On the bootstrap in cube root asymptotics
Christian Léger, Brenda MacGibbon
2006· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
faoutlier
R. Philip Chalmers, David B. Flora
2015· article· en· Applied Psychological Measurement· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
24
citations
affunlabeled
Cross-Validation Sample Sizes
James Algina, H. J. Keselman
2000· article· en· Applied Psychological Measurement· Mathematics
machine prediction:candidate · metaresearchconsensus · none
23
citations
affno abstractunlabeled
Clustering via minimum volume ellipsoids
Romy Shioda, Levent Tunçel
2007· article· en· Computational Optimization and Applications· Mathematics
machine prediction:candidate · noneconsensus · none
23
citations
affaboutunlabeled
Robust generalized regression estimation
Jean François Beaumont, Asma Alavi
2005· article· en· Quality Engineering· Mathematics
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractgemma · no categorygpt · no categorymodels split
Data Mining Approaches to Reference Interval Studies
Amrom E. Obstfeld, Khushbu Patel, James C. Boyd, Julia C. Drees, Daniel T. Holmes, John P. A. Ioannidis +1 more
2021· article· en· Clinical Chemistry· Mathematics
machine prediction:candidate · noneconsensus · none
21
citations
venueno affunlabeled
M-Estimators in Regression Models
R Muthukrishnan, Radha Myilsamy
2010· article· en· Journal of Mathematics Research· Mathematics
machine prediction:candidate · noneconsensus · none
20
citations

How this was built: Screen · Findings · About