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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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Gaussian Processes and Bayesian Inference
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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.

309 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.
309 works in the cohort · of 4,299,418page 2 of 7

Labels cover 0 of 309 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 309 of 309 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
Deep Mixtures of Factor Analysers
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2012· article· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
33
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
affno abstractunlabeled
Learning Gaussian Process Models from Uncertain Data
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Fast parzen window density estimator
Xiaoxia Wang, Peter Tiňo, Mark A. Fardal, Somak Raychaudhury, Arif Babul
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Cylinders out of a top hat: counts-in-cells for projected densities
Cora Uhlemann, Christophe Pichon, Sandrine Codis, Benjamin L’Huillier, Juhan Kim, Francis Bernardeau +2 more
2018· article· en· Monthly Notices of the Royal Astronomical Society· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Functional Variational Bayesian Neural Networks
Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger Grosse
2019· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Inverse Problems for Physics-Based Process Models
Derek Bingham, Troy Butler, Donald Estep
2023· article· en· Annual Review of Statistics and Its Application· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
On Tracking The Partition Function
Guillaume Desjardins, Yoshua Bengio, Aaron Courville
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Sequential Inference for Deep Gaussian Process
Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun
2016· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Wormholes Improve Contrastive Divergence
Max Welling, Andriy Mnih, Geoffrey E. Hinton
2003· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations

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