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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 the Royal Statistical Society Series B (Statistical Methodology)
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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.

82 results · 1 filter active ·
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20002024
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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.
82 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 82 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 82 of 82 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.

affunlabeled
Sparsity and Smoothness Via the Fused Lasso
Robert Tibshirani, Michael A. Saunders, Saharon Rosset, Ji Zhu, Keith Knight
2004· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
2,805
citations
affunlabeled
Particle Markov Chain Monte Carlo Methods
Christophe Andrieu, Arnaud Doucet, Roman Holenstein
2010· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
2,055
citations
affunlabeled
Sequential Monte Carlo Samplers
Pierre Del Moral, Arnaud Doucet, Ajay Jasra
2006· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Computer Science
machine prediction:candidate · noneconsensus · none
1,702
citations
afffundunlabeled
Bootstrapping Clustered Data
Chris Field, A. H. Welsh
2007· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · metaresearchconsensus · none
369
citations
afffundunlabeled
Residual Analysis for Spatial Point Processes (with Discussion)
Adrian Baddeley, Rolf Turner, Jesper Møller, Martin L. Hazelton
2005· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
318
citations
affunlabeled
Local Influence for Incomplete Data Models
Hong-Tu Zhu, Sik‐Yum Lee
2001· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
215
citations
fundno affunlabeled
Spline Smoothing over Difficult Regions
Tim Ramsay
2002· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Engineering
machine prediction:candidate · noneconsensus · none
148
citations
fundno affunlabeled
Sequential Selection Procedures and False Discovery Rate Control
Max G’Sell, Stefan Wager, Alexandra Chouldechova, Robert Tibshirani
2015· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
146
citations
afffundunlabeled
Spatial Spline Regression Models
Laura M. Sangalli, J. O. Ramsay, Tim Ramsay
2013· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Environmental Science
machine prediction:candidate · noneconsensus · none
145
citations
affunlabeled
Testing for a Finite Mixture Model with Two Components
Hanfeng Chen, Jiahua Chen, John D. Kalbfleisch
2003· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Computer Science
machine prediction:candidate · noneconsensus · none
98
citations
afffundunlabeled
Default Priors for Bayesian and Frequentist Inference
D. A. S. Fraser, Nancy Reid, Elisabetta Marras, Grace Y. Yi
2010· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Computer Science
machine prediction:candidate · noneconsensus · none
88
citations
affunlabeled
Regression Models on Riemannian Symmetric Spaces
Emil Cornea, Hongtu Zhu, Peter Kim, Joseph G. Ibrahim
2016· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
81
citations
affunlabeled
Local Explosion Modelling by Non-Causal Process
Christian Gouriéroux, Jean‐Michel Zakoïan
2016· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
80
citations
afffundunlabeled
False Discovery Rate Control with E-values
Ruodu Wang, Aaditya Ramdas
2022· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
75
citations
afffundunlabeled
Robust Linear Clustering
Luis Ángel García-Escudero, Alfonso Gordaliza, Stefan Van Aelst, Ruben H. Zamar
2008· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
56
citations
aboutno affunlabeled
On Selection of Spatial Linear Models for Lattice Data
Jun Zhu, Hsin‐Cheng Huang, Perla E. Reyes
2010· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
55
citations
fundno affunlabeled
Testing for a Change in Mean after Changepoint Detection
Sean Jewell, Paul Fearnhead, Daniela Witten
2022· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
55
citations
afffundunlabeled
Robust Discrimination Designs
Douglas P. Wiens
2009· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Decision Sciences
machine prediction:candidate · noneconsensus · none
49
citations
affunlabeled
Inference for Linear Models with Dependent Errors
Zhou Zhou, Xiaofeng Shao
2012· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
Quantile Spectral Analysis for Locally Stationary Time Series
Stefan Birr, Stanislav Volgushev, Tobias Kley, Holger Dette, Marc Hallin
2017· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
43
citations
afffundunlabeled
Improved Likelihood Inference for Discrete Data
A. C. Davison, D. A. S. Fraser, Nancy Reid
2006· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
Non-Parametric Bayesian Inference on Bivariate Extremes
Simon Guillotte, François Perron, Johan Segers
2011· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
36
citations
afffundunlabeled
Structure Learning for Extremal Tree Models
Sebastian Engelke, Stanislav Volgushev
2022· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
23
citations

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