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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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Journal of Global Optimization
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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.

105 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.
105 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 105 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 105 of 105 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
Geometric fit of a point set by generalized circles
Mark-Christoph Körner, Jack Brimberg, Henrik Juel, Anita Schöbel
2010· article· en· Journal of Global Optimization· Engineering
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
A dual approach to multi-dimensional assignment problems
Jingqun Li, T. Kirubarajan, Ratnasingham Tharmarasa, D. Richard Brown, Krishna R. Pattipati
2021· article· en· Journal of Global Optimization· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
An Exact Method for Fractional Goal Programming
Charles Audet, Emilio Carrizosa, Pierre Hansen
2004· article· en· Journal of Global Optimization· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Global optimization workshop 2012
Daniel Aloise, Pierre Hansen, Caroline Rocha
2014· article· en· Journal of Global Optimization· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Learning chordal extensions
Defeng Liu, Andrea Lodi, Mathieu Tanneau
2021· preprint· en· Journal of Global Optimization· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Small polygons with large area
Christian Bingane, Michael J. Mossinghoff
2023· article· en· Journal of Global Optimization· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About