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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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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
fundfunder
venuejournal
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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 16 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.

venueno affunlabeled
Random mappings with Ewens cycle structure
Jennie C. Hansen, Jerzy Jaworski
2013· article· en· Ars Combinatoria· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Asymptotic Expansions
Nancy Reid
2017· other· en· Wiley StatsRef: Statistics Reference Online· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Smoothed Dirichlet Distribution
Lahiru Wickramasinghe, Alexandre Leblanc, Saman Muthukumarana
2023· article· en· Journal of Statistical Theory and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundvenueaboutunlabeled
Model‐based linear clustering
Guohua Yan, William J. Welch, Ruben H. Zamar
2010· article· en· Canadian Journal of Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Estimation in mixture models
Zhengmin Zhang
2008· dissertation· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
BIAS REDUCTION OF THE NEAREST NEIGHBOR ENTROPY ESTIMATOR
Alexei Kaltchenko, Nina Timofeeva, Eugeniy Aleksandrovich Timofeev
2008· article· en· International Journal of Bifurcation and Chaos· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
A family of mixture models for biclustering
Wangshu Tu, Sanjeena Subedi
2021· article· en· Statistical Analysis and Data Mining The ASA Data Science Journal· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations

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