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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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Nature Computational Science
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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.

39 results · 1 filter active ·
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20212025
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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.
39 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 39 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 39 of 39 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.

affno abstractunlabeled
Challenges and opportunities in quantum machine learning
M. Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Łukasz Cincio, Patrick J. Coles
2022· review· en· Nature Computational Science· Computer Science
machine prediction:candidate · noneconsensus · none
652
citations
fundno affunlabeled
Generative aptamer discovery using RaptGen
Natsuki Iwano, Tatsuo Adachi, Kazuteru Aoki, Yoshikazu Nakamura, Michiaki Hamada
2022· article· en· Nature Computational Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
103
citations
afffundno abstractunlabeled
Multi-view manifold learning of human brain-state trajectories
Erica L. Busch, Jessie Huang, Andrew Benz, Tom Wallenstein, Guillaume Lajoie, Guy Wolf +2 more
2023· article· en· Nature Computational Science· Neuroscience
machine prediction:candidate · noneconsensus · none
41
citations
fundno affunlabeled
A machine learning route between band mapping and band structure
R. Patrick Xian, Vincent Stimper, Marios Zacharias, Maciej Dendzik, Shuo Dong, Samuel Beaulieu +6 more
2022· article· en· Nature Computational Science· Materials Science
machine prediction:candidate · noneconsensus · none
26
citations
fundno affunlabeled
Predictive analyses of regulatory sequences with EUGENe
Adam Klie, David Laub, James V. Talwar, Hayden Stites, Tobias Jores, Joe J. Solvason +2 more
2023· article· en· Nature Computational Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Language models for quantum simulation
Roger G. Melko, Juan Carrasquilla
2024· article· en· Nature Computational Science· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
AI-powered aptamer generation
Majid Khabbazian, Hosna Jabbari
2022· article· en· Nature Computational Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
8
citations
afffundno abstractunlabeled
Dendritic excitability controls overdispersion
Zachary Friedenberger, Richard Naud
2023· article· en· Nature Computational Science· Neuroscience
machine prediction:candidate · noneconsensus · none
5
citations
afffundno abstractunlabeled
A dynamic metabolic map for diabetes
Jiao Zhao, Hao Xu, Laurence Yang
2021· article· en· Nature Computational Science· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Using labels to limit AI misuse in health
Elaine O. Nsoesie, Marzyeh Ghassemi
2024· article· en· Nature Computational Science· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
The role of ADM in brain function
Maurice J. Chacron
2022· article· en· Nature Computational Science· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
What’s so hard about RNA-targeting drug discovery?
Carlos Oliver, Jérôme Waldispühl
2025· article· en· Nature Computational Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Rapid protein model refinement by deep learning
Osama Abdin, Philip M. Kim
2021· article· en· Nature Computational Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A versatile model for single-cell data analysis
Jun Ding
2021· article· en· Nature Computational Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Bridge over troubled transcripts
Guillermo E. Parada, Martin Hemberg
2022· article· en· Nature Computational Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Decoding omics via representation learning
Dinghao Wang, Qingrun Zhang
2025· article· en· Nature Computational Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About