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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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Matrix Theory and Algorithms
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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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venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,077 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.
1,077 works in the cohort · of 4,299,418page 6 of 22

Labels cover 1 of 1,077 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 1,077 of 1,077 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
Total positivity and Toda flow
G. M. L. Gladwell
2002· article· en· Linear Algebra and its Applications· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Partial Algebras
George Grätzer
2008· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
venueno affno abstractunlabeled
On The Max-Type Equation.
E. M. Elsayed, Bratislav Iričanin, Stevo Stević
2010· article· en· Ars Combinatoria· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Vector energy and large deviation
Thomas Bloom, N. Levenberg, F. Wielonsky
2015· article· fr· Journal d Analyse Mathématique· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Spectral (isotropic) manifolds and their dimension
Aris Daniilidis, Jérôme Malick, Hristo S. Sendov
2016· article· en· Journal d Analyse Mathématique· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
afffundno abstractunlabeled
A characterization of commutators of idempotents
Roman Drnovšek, Heydar Radjavi, Peter Rosenthal
2002· article· en· Linear Algebra and its Applications· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
fundno affunlabeled
An Airy discrete variable representation basis
Robert G. Littlejohn, Matthew Cargo
2002· article· en· The Journal of Chemical Physics· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
Super-identical pseudospectra
Maxime Fortier Bourque, Thomas Ransford
2009· article· en· Journal of the London Mathematical Society· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Digraph-based conditioning for Markov chains
Steve Kirkland
2003· article· en· Linear Algebra and its Applications· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
OMC for scalar multiples of unitaries
S.W. Drury
2006· article· en· Linear Algebra and its Applications· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About