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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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Bayesian Methods and Mixture 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.

1,238 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.
1,238 works in the cohort · of 4,299,418page 8 of 25

Labels cover 4 of 1,238 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 1,238 of 1,238 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.

affvenueunlabeled
Nonparametric adaptive likelihood weights
Jean‐François Plante
2008· article· en· Canadian Journal of Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Pretest and shrinkage estimators for log-normal means
Mahmoud Aldeni, John Wagaman, Mohamed Amezziane, S. Ejaz Ahmed
2022· article· en· Computational Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
afffundno abstractunlabeled
An alternative to the out of bootstrap
Hemant Ishwaran, Lancelot F. James, Mahmoud Zarepour
2008· article· en· Journal of Statistical Planning and Inference· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Marginal Multiple Importance Sampling
Rex West, Iliyan Georgiev, Toshiya Hachisuka
2022· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
afffundunlabeled
NWU property of a class of random sums
Jun Cai, В. В. Калашников
2000· article· en· Journal of Applied Probability· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Asynchronous Gibbs Sampling.
Alexander Terenin, Daniel Simpson, David Draper
2020· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
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