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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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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.

3,601 results · 1 filter active ·
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20002025
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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.
3,601 works in the cohort · of 4,299,418page 51 of 73

Labels cover 11 of 3,601 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 3,601 of 3,601 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
Mycorrhizal weathering in base-poor forests
Shaun A. Watmough, Peter J. Dillon
2003· letter· en· Nature· Environmental Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Implantation barrier overcome
Janet Rossant
2016· letter· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Skates on thin ice
Nicholas K. Dulvy, John D. Reynolds
2009· article· en· Nature· Environmental Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Arctic plants take up mercury vapour
William Shotyk
2017· letter· en· Nature· Environmental Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Safikhani et al. reply
Zhaleh Safikhani, Nehmé El-Hachem, Petr Smirnov, Mark Freeman, Anna Goldenberg, Nicolai J. Birkbak +4 more
2016· article· de· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Reply to: Reevaluating bipedalism in Danuvius
Madelaine Böhme, Nikolaï Spassov, Jeremy M. DeSilva, David R. Begun
2020· letter· en· Nature· Psychology
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Reply to: Methods matter in repeating ocean acidification studies
Thomas D. Clark, Graham D. Raby, Dominique G. Roche, Sandra A. Binning, Ben Speers‐Roesch, Fredrik Jutfelt +1 more
2020· letter· en· Nature· Earth and Planetary Sciences
machine prediction:candidate · metaresearchconsensus · none
19
citations
affno abstractunlabeled
Carbon conundrum on the tundra
Wendy M. Loya, Paul Grogan
2004· letter· en· Nature· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Extreme river flood exposes latent erosion risk
Hermjan Barneveld, Roy M. Frings, E. Mosselman, Jeremy G. Venditti, Maarten G. Kleinhans, Astrid Blom +9 more
2025· article· en· Nature· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Tiny brakes for a growing heart
Benoit G. Bruneau
2005· letter· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Gain and loss mixed in the same cauldron
Luca Razzari, Roberto Morandotti
2012· letter· en· Nature· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Satellite time series can guide forest restoration
Joanne C. White, Michael A. Wulder, Txomin Hermosilla, Nicholas C. Coops
2019· letter· en· Nature· Environmental Science
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Species choked and blended
Jeffrey S. McKinnon, Eric B. Taylor
2012· letter· en· Nature· Environmental Science
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Vaccination strategies for foot-and-mouth disease
Richard Paul Kitching, Nicholas Mark Taylor, Michael Thrusfield
2007· letter· en· Nature· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Fashionable cells
Chun Y. Seow
2005· article· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Universities need a new social contract
I. V. Samarasekera
2009· article· en· Nature· Medicine
machine prediction:candidate · scholarly_communicationconsensus · none
18
citations
affno abstractunlabeled
Finding the missing fundamental
Robert J. Zatorre
2005· letter· en· Nature· Neuroscience
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Drugs that prevent HIV infection
Mark A. Wainberg
2011· article· en· Nature· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Ratcheting up lipopolysaccharide transport
Russell E. Bishop
2019· letter· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
17
citations

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