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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.

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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.

1,193 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.
1,193 works in the cohort · of 4,299,418page 6 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.

affno abstractunlabeled
A weighted spatial median for clustered data
Jaakko Nevalainen, Denis Larocque, Hannu Oja
2006· article· en· Statistical Methods & Applications· Mathematics
machine prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
Profile Hellinger distance estimation
Jingjing Wu, Rohana J. Karunamuni
2014· article· en· Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Simple characterizations of Student's t2-distribution
V. B. Nevzorov, N. Balakrishnan, Mohammad Ahsanullah
2003· article· en· Journal of the Royal Statistical Society Series D (The Statistician)· Mathematics
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Tukey’s Depth for Object Data
Xiongtao Dai, Sara López‐Pintado
2021· article· en· Journal of the American Statistical Association· Mathematics
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
A Multivariate Quantile Predictor
Jan G. De Gooijer, Ali Gannoun, Dawit Zerom
2006· article· en· Communication in Statistics- Theory and Methods· Mathematics
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Robust Statistical Estimation
David M. Erceg‐Hurn, Rand R. Wilcox, H. J. Keselman
2013· book· en· Oxford University Press eBooks· Mathematics
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Ensemble classification of paired data
Werner Adler, Alexander Brenning, Sergej Potapov, Matthias Schmid, Berthold Lausen
2010· article· en· Computational Statistics & Data Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
16
citations

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