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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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Digital Image Processing Techniques
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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
fundfunder
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.

246 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.
246 works in the cohort · of 4,299,418page 2 of 5

Labels cover 0 of 246 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 246 of 246 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.

afffundunlabeled
Gaussian ℬ𝒱 capacity
Jie Xiao
2015· article· en· Advances in Calculus of Variations· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affaboutunlabeled
Seeing through the fog
Chris Wolfe, T.C. Nicholas Graham, Joseph A. Pape
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Table cartogram
William Evans, Stefan Felsner, Michael Kaufmann, Stephen Kobourov, Debajyoti Mondal, Rahnuma Islam Nishat +1 more
2017· article· en· Computational Geometry· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
afffundno abstractunlabeled
Unique Determination of Convex Lattice Sets
Dmitry Ryabogin, Vladyslav Yaskin, Ning Zhang
2016· article· en· Discrete & Computational Geometry· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Halton iterative partitioning master frames
B. L. Robertson, Paul van Dam‐Bates, Oliver Gansell
2021· article· en· Environmental and Ecological Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Measuring Linearity of Ordered Point Sets
Miloš Stojmenović, Amiya Nayak
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Table Cartograms
William Evans, Stefan Felsner, Michael Kaufmann, Stephen Kobourov, Debajyoti Mondal, Rahnuma Islam Nishat +1 more
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
6
citations
affunlabeled
Vector templates for symbol recognition
Richard Garry Parker, J. Pivovarov, D. Royko
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Analysis and Synthesis of Digital Dyadic Sequences
Abdalla G. M. Ahmed, Mikhail Skopenkov, Markus Hadwiger, Peter Wonka
2023· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
2L-convex polyominoes: Geometrical aspects
Khalil Tawbe, Laurent Vuillon
2011· article· en· Contributions to Discrete Mathematics· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
Probing convex polygons with a wedge
Prosenjit Bose, Jean-Lou De Carufel, Alina Shaikhet, Michiel Smid
2016· article· en· Computational Geometry· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations

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