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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.

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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 4 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.

afffundunlabeled
Bounded Asymmetrical Student's-t Mixture Model
Thanh Minh Nguyen, Q. M. Jonathan Wu
2013· article· en· IEEE Transactions on Cybernetics· Computer Science
machine prediction:candidate · noneconsensus · none
38
citations
fundno affunlabeled
Bayesian estimation of dynamic finite mixtures
Iván Nagy, Evženie Suzdaleva, Miroslav Kárný, Tereza Mlynářová
2011· article· en· International Journal of Adaptive Control and Signal Processing· Computer Science
machine prediction:candidate · noneconsensus · none
35
citations
affunlabeled
Nonparametric Bayesian Logic
Peter Carbonetto, Jacek Kisyński, Nando de Freitas, David Poole
2012· article· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affno abstractunlabeled
A Mixture of Variance-Gamma Factor Analyzers
Sharon M. McNicholas, Paul D. McNicholas, Ryan P. Browne
2017· book-chapter· en· Contributions to statistics· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Mixtures of Matrix-Variate Contaminated Normal Distributions
Salvatore D. Tomarchio, Michael P. B. Gallaugher, Antonio Punzo, Paul D. McNicholas
2021· article· en· Journal of Computational and Graphical Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
30
citations
affno abstractunlabeled
On simulation and properties of the stable law
Luc Devroye, Lancelot F. James
2014· article· en· Statistical Methods & Applications· Computer Science
machine prediction:candidate · noneconsensus · none
29
citations

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