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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 95 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.

affunlabeled
Structure theorems for game trees
Srihari Govindan, Robert Wilson
2002· article· en· Proceedings of the National Academy of Sciences· Decision Sciences
machine prediction:candidate · noneconsensus · none
30
citations
afffundunlabeled
Evolution of nonspectral rhodopsin function at high altitudes
Gianni M. Castiglione, Frances E. Hauser, Brian S. Liao, Nathan K. Lujan, Alexander Van Nynatten, James M. Morrow +4 more
2017· article· en· Proceedings of the National Academy of Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
30
citations
afffundunlabeled
In vivo mapping of a GPCR interactome using knockin mice
Jade Degrandmaison, Khaled Abdallah, Véronique Blais, Samuel Génier, Marie-Pier Lalumière, Francis Bergeron +5 more
2020· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
30
citations
fundno affunlabeled
Cryo-EM structure and functional landscape of an RNA polymerase ribozyme
Ewan K.S. McRae, Christopher Wan, Emil L. Kristoffersen, Kalinka Hansen, Edoardo Gianni, Isaac Gállego +4 more
2024· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
30
citations
fundno affunlabeled
BAP1 is a novel regulator of HIF-1α
Angela Bononi, Qian Wang, Alicia A. Zolondick, Fang Bai, Mika Steele-Tanji, Joelle Sacks Suarez +21 more
2023· article· en· Proceedings of the National Academy of Sciences· Medicine
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
A tale of two tardigrades
Thomas A. Richards, Adam Monier
2016· letter· en· Proceedings of the National Academy of Sciences· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
29
citations
afffundunlabeled
Adult neurogenesis acts as a neural regularizer
Lina Tran, Adam Santoro, Lulu Liu, Sheena A. Josselyn, Blake A. Richards, Paul W. Frankland
2022· article· en· Proceedings of the National Academy of Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
29
citations
afffundunlabeled
A Functional Map of the Human Intrinsically Disordered Proteome
Iva Pritišanac, T. Reid Alderson, Đesika Kolarić, Taraneh Zarin, Shuting Xie, Alex X. Lu +5 more
2024· preprint· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Take caution in using LLMs as human surrogates
Yuan Gao, Dokyun Lee, Gordon Burtch, Sina Fazelpour
2025· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Learning the language of antibody hypervariability
Rohit Singh, Chiho Im, Yu Qiu, Brian C. Mackness, Abhinav Gupta, Taylor Joren +6 more
2024· article· en· Proceedings of the National Academy of Sciences· Medicine
machine prediction:candidate · noneconsensus · none
29
citations

How this was built: Screen · Findings · About