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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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Proceedings of the National Academy of Sciences
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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.

affaffiliation
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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 93 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
Active galactic nucleus feedback in clusters of galaxies
E. L. Blanton, T. E. Clarke, Craig L. Sarazin, Scott W. Randall, B. R. McNamara
2010· article· en· Proceedings of the National Academy of Sciences· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
Stromal retinoic acid receptor β promotes mammary gland tumorigenesis
Xingxing Liu, Mélanie Nugoli, Julie Laferrière, Sadiq M.I. Saleh, Ian Gaël Rodrigue‐Gervais, Maya Saleh +4 more
2010· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
33
citations
fundno affunlabeled
Identification of a receptor for an extinct virus
Steven J. Soll, Stuart J. D. Neil, Paul D. Bieniasz
2010· article· en· Proceedings of the National Academy of Sciences· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
Old substrates for new enzymes of terpenoid biosynthesis
Jörg Bohlmann, Jonathan Gershenzon
2009· letter· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
ACSL6 is critical for maintaining brain DHA levels
Raphaël Chouinard‐Watkins, Richard P. Bazinet
2018· letter· en· Proceedings of the National Academy of Sciences· Nursing
machine prediction:candidate · noneconsensus · none
33
citations
fundno affunlabeled
Successive-signal biasing for a learned sound sequence
Xiaoming Zhou, Etienne de Villers‐Sidani, Rogério Panizzutti, Michael M. Merzenich
2010· article· en· Proceedings of the National Academy of Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
RARα-PLZF oncogene inhibits C/EBPα function in myeloid cells
Nathalie Girard, Mathieu Tremblay, Magali Humbert, Benoı̂t Grondin, André Haman, Jean Labrecque +4 more
2013· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
32
citations

How this was built: Screen · Findings · About