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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
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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 8 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.

affgemma · metaresearchgpt · metaresearchmodels agree
Bayes, Reproducibility and the Quest for Truth
D. A. S. Fraser, Michel Bédard, Augustine Wong, Wei Lin, A. M. Fraser
2016· article· en· Statistical Science· Mathematics
machine prediction:candidate · metaresearchconsensus · none
12
citations
affunlabeled
Score tests for inverse Gaussian mixtures
Anthony F. Desmond, Zhenlin Yang
2010· article· en· Applied Stochastic Models in Business and Industry· Mathematics
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Short-tailed distributions and inliers
Ayşen D. Akkaya, M. L. Tiku
2007· article· en· Test· Mathematics
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Decision Tree Classification
Alin Dobra
2009· book-chapter· en· Encyclopedia of Database Systems· Mathematics
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Fast Robust Model Selection in Large Datasets
Debbie J. Dupuis, Maria‐Pia Victoria‐Feser
2011· article· en· Journal of the American Statistical Association· Mathematics
machine prediction:candidate · noneconsensus · none
10
citations
fundno affno abstractunlabeled
How reliable is your reliability diagram?
Hyukjun Gweon, Hao Yu
2019· article· en· Pattern Recognition Letters· Mathematics
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Bent-cable asymptotics when the bend is missing
Grace S. Chiu, Richard Lockhart, Richard Routledge
2002· article· en· Statistics & Probability Letters· Mathematics
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
CriSP: A Tool for Bump Hunting
Jaroslaw Harezlak, Nancy Heckman
2001· article· en· Journal of Computational and Graphical Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
10
citations

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