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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.

6,318 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.
6,318 works in the cohort · of 4,299,418page 122 of 127

Labels cover 9 of 6,318 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 6,318 of 6,318 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.

aboutno affunlabeled
Foreseeing fires
Amy McDermott
2020· article· en· Proceedings of the National Academy of Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Gene function: Getting specific, generally speaking
Stephen W. Michnick, François‐Xavier Campbell‐Valois
2002· letter· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Decoding memory function through naturalistic gaze patterns
Jordana S. Wynn, Anisha Khosla, Arber Kacollja, Elaheh Shahmiri, Nicole D. Anderson, Kelly Shen +1 more
2025· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Reply to Aarstad: Risk management versus “truth”
William R. L. Anderegg, James W. Prall, Jacob Harold
2010· article· en· Proceedings of the National Academy of Sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Light-powered molecular logic goes nonlinear
Gregory D. Scholes
2013· letter· en· Proceedings of the National Academy of Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Efficient neural encoding as revealed by bilingualism
Charlotte E. Moore, Peter Donhauser, Denise Klein, Krista Byers‐Heinlein
2025· article· en· Proceedings of the National Academy of Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The DAGs of war
David N. Fisman, Ashleigh R. Tuite
2019· letter· en· Proceedings of the National Academy of Sciences· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The effect of job loss on risky financial decision-making
Samuel Hirshman, Abigail B. Sussman, Carlos Vazquez-Hernandez, Daniel O’Leary, Jennifer S. Trueblood
2024· article· en· Proceedings of the National Academy of Sciences· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Logging disrupts the ecology of molecules in headwater streams
Erika C. Freeman, Erik J. S. Emilson, Kara L. Webster, Thorsten Dittmar, Andrew J. Tanentzap
2025· article· en· Proceedings of the National Academy of Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Sex combs find middle ground in evolution debate
Ehab Abouheif, Ab. Matteen Rafiqi
2014· letter· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Removing dead trees will not save us from fast-moving wildfires
Dominick A. DellaSala, Brian Buma, Alexandro B. Leverkus, David B. Lindenmayer, Jörg Müller, Karen N. Price +3 more
2025· article· en· Proceedings of the National Academy of Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About