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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.

1,028 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,028 works in the cohort · of 4,299,418page 21 of 21

Labels cover 1 of 1,028 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 1,028 of 1,028 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
The postdoc paradox: a career without a path
Jonathan Pansieri, Sandy Figiel, David A. Menassa, Vito A. G. Ricigliano, Meral Seferoğlu, Serena Borrelli +15 more
2025· article· en· Brain· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
A frontal approach to intelligence
Michael C. Corballis
2011· article· en· Brain· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Corrigenda
Michael Costigan, Inna Belfer, Robert Griffin, Feng Dai, Lee Barrett, Giovanni Coppola +22 more
2010· article· it· Brain· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Corrigendum
2018· erratum· it· Brain· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Editorial
A. Compston
2010· editorial· es· Brain· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Academia in the throes of faceless bureaucracy
Jonathan Pansieri, David A. Menassa, Sandy Figiel, Marco Pisa, Andrew Lockhart, Vito A. G. Ricigliano +20 more
2025· article· en· Brain· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ingredients for a brain
Anthony R. McIntosh
2011· article· en· Brain· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial
Alastair Compston
2013· editorial· es· Brain· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Corrigenda
Michael Costigan, Inna Belfer, Robert Griffin, Feng Dai, Lee C. Barrett, Giovanni Coppola +22 more
2011· article· it· Brain· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Prions and the like
Michel Goedert
2013· article· en· Brain· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About