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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 Reviews Chemistry
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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.

32 results · 1 filter active ·
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20172025
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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.
32 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 32 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 32 of 32 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
Single-cell analysis targeting the proteome
Mahmoud Labib, Shana O. Kelley
2020· review· en· Nature Reviews Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
231
citations
fundno affno abstractunlabeled
Exploiting metabolic glycoengineering to advance healthcare
Christian Agatemor, Matthew J. Buettner, Ryan Ariss, Keerthana Muthiah, Christopher T. Saeui, Kevin J. Yarema
2019· review· en· Nature Reviews Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
180
citations
affno abstractunlabeled
Intercalation in 2D materials and in situ studies
Ruijie Yang, Liang Mei, Zhaoyang Lin, Yingying Fan, Jongwoo Lim, Jinghua Guo +6 more
2024· review· en· Nature Reviews Chemistry· Materials Science
machine prediction:candidate · noneconsensus · none
175
citations
affno abstractunlabeled
Radical approaches to C–S bonds
Zijun Wu, Derek A. Pratt
2023· review· en· Nature Reviews Chemistry· Chemistry
machine prediction:candidate · noneconsensus · none
111
citations
affno abstractunlabeled
DNA nanostructures as templates for biomineralization
Dimitra Athanasiadou, Karina M. M. Carneiro
2021· review· en· Nature Reviews Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
100
citations
fundno affno abstractunlabeled
Natural product anticipation through synthesis
Belinda E. Hetzler, Dirk Trauner, Andrew L. Lawrence
2022· review· en· Nature Reviews Chemistry· Chemistry
machine prediction:candidate · noneconsensus · none
81
citations
affno abstractunlabeled
The design of PINO-like hydrogen-atom-transfer catalysts
Cheng Yang, Sahil Arora, Stephen Maldonado, Derek A. Pratt, Corey R. J. Stephenson
2023· review· en· Nature Reviews Chemistry· Chemistry
machine prediction:candidate · noneconsensus · none
49
citations
affno abstractunlabeled
Interrupted reactions in chemical synthesis
Vincent Trudel, Chieh‐Hung Tien, Alina Trofimova, Andrei K. Yudin
2021· review· en· Nature Reviews Chemistry· Chemistry
machine prediction:candidate · noneconsensus · none
43
citations
affno abstractunlabeled
Return to Flatland
Ian Churcher, Stuart Newbold, Christopher W. Murray
2025· review· en· Nature Reviews Chemistry· Chemistry
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Steering towards safe self-driving laboratories
Shi Xuan Leong, Caleb E. Griesbach, Rui Zhang, Kourosh Darvish, Yuchi Zhao, Abhijoy Mandal +4 more
2025· review· en· Nature Reviews Chemistry· Engineering
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
Protein–ligand data at scale to support machine learning
A.M. Edwards, Dafydd R. Owen, Leili Zhang, Damian W. Young, Timothy M. Willson, James Wellnitz +69 more
2025· review· en· Nature Reviews Chemistry· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Playing with chemistry
Julia E. Winter
2018· review· en· Nature Reviews Chemistry· Psychology
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Closing the loop with reactions at the N-terminus
Kejia Yan, Ratmir Derda
2025· review· en· Nature Reviews Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Don’t let generative AI shape how we see chemistry
Audrey Moores, Vânia Gomes Zuin
2025· review· en· Nature Reviews Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
5
citations
affno abstractunlabeled
2D magnets filled with lithium
Liang Mei, Ruijie Yang
2024· review· en· Nature Reviews Chemistry· Materials Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Ions go in and new phases appear
Ruijie Yang, Yingying Fan
2024· review· en· Nature Reviews Chemistry· Materials Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Gender equity in funding
Cathleen M. Crudden
2022· review· en· Nature Reviews Chemistry· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
3
citations
affno abstractunlabeled
Listening to fathers in STEM
Jennifer Leigh, David K. Smith, Barry A. Blight, Gareth O. Lloyd, Charlie T. McTernan, Emily R. Draper
2023· review· en· Nature Reviews Chemistry· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
3
citations
affno abstractunlabeled
The Science of the Modern Kitchen
Stephanie Sebastiampillai, Wayne Wing Him Law, Yong Jia Bu, Andrew P. Dicks, Deborah B. Zamble
2023· review· en· Nature Reviews Chemistry· Chemistry
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Chromatic inclusivity in chemistry
Nicholas J. Roberts, Jennifer L. MacDonald
2024· review· en· Nature Reviews Chemistry· Chemistry
machine prediction:candidate · stsconsensus · none
1
citations
affno abstractunlabeled
Reflections on the pigments of life
Alexander Rosu-Finsen, David Dolphin
2025· review· en· Nature Reviews Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations

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