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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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Journal of Computational and Graphical Statistics
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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.

83 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
83 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 83 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 83 of 83 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.

fundno affunlabeled
Examples of Adaptive MCMC
Gareth O. Roberts, Jeffrey S. Rosenthal
2009· article· en· Journal of Computational and Graphical Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
1,078
citations
fundno affunlabeled
Functional Boxplots
Ying Sun, Marc G. Genton
2011· article· en· Journal of Computational and Graphical Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
417
citations
fundno affunlabeled
Combining Mixture Components for Clustering
Jean-Patrick Baudry, Adrian E. Raftery, Gilles Celeux, Kenneth Lo, Raphaël Gottardo
2010· article· en· Journal of Computational and Graphical Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
348
citations
afffundunlabeled
Adjusted Empirical Likelihood and its Properties
Jiahua Chen, Asokan Mulayath Variyath, Bovas Abraham
2008· article· en· Journal of Computational and Graphical Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
207
citations
affunlabeled
A Brief History of the Mosaic Display
Michael Friendly
2002· article· en· Journal of Computational and Graphical Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
92
citations
affunlabeled
Parallel Bayesian Additive Regression Trees
Matthew T. Pratola, Hugh Chipman, James Gattiker, David Higdon, Robert McCulloch, William N. Rust
2014· article· en· Journal of Computational and Graphical Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
64
citations
affunlabeled
The Fast-τ Estimator for Regression
Matías Salibián‐Barrera, Gert Willems, Ruben H. Zamar
2008· article· en· Journal of Computational and Graphical Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Divide-and-Conquer With Sequential Monte Carlo
Fredrik Lindsten, Adam M. Johansen, Christian A. Naesseth, Bonnie Kirkpatrick, Thomas B. Schön, John A. D. Aston +1 more
2016· article· en· Journal of Computational and Graphical Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
33
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
affunlabeled
Users, Programmers, and Statistical Software
John M. Chambers
2000· article· en· Journal of Computational and Graphical Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
afffundaboutunlabeled
Local-EM and the EMS Algorithm
Chun‐Po Steve Fan, James E. Stafford
2011· article· en· Journal of Computational and Graphical Statistics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
The Conditional-Potts Clustering Model
Alejandro Murua, Nicolas Wicker
2013· article· en· Journal of Computational and Graphical Statistics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
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
affunlabeled
Testing Uniformity of a Spatial Point Pattern
Lai Ping Ho, Sung Nok Chiu
2007· article· en· Journal of Computational and Graphical Statistics· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Boosting for Correlated Binary Classification
Adeniyi J. Adewale, Irina Dinu, Yutaka Yasui
2010· article· en· Journal of Computational and Graphical Statistics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Comment
Michael Friendly, Ernest Kwan
2011· article· en· Journal of Computational and Graphical Statistics· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
8
citations
afffundunlabeled
Functional Nonlinear Learning
Haixu Wang, Jiguo Cao
2023· article· en· Journal of Computational and Graphical Statistics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Analytic Permutation Testing for Functional Data ANOVA
Adam B Kashlak, Sergii Myroshnychenko, Susanna Spektor
2022· article· en· Journal of Computational and Graphical Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Adaptive Incremental Mixture Markov Chain Monte Carlo
Florian Maire, Nial Friel, Antonietta Mira, Adrian E. Raftery
2019· article· en· Journal of Computational and Graphical Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
A General Hybrid Clustering Technique
Saeid Amiri, Bertrand Clarke, Jennifer Clarke, Hoyt Koepke
2018· preprint· en· Journal of Computational and Graphical Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Online Kernel-Based Mode Learning
Tao Wang, Weixin Yao
2025· article· en· Journal of Computational and Graphical Statistics· Engineering
machine prediction:candidate · noneconsensus · none
3
citations

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