MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Journal of Global Optimization
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

105 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
105 works in the cohort · of 4,299,418page 1 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Extremal problems for convex polygons
Charles Audet, Pierre Hansen, Frédéric Messine
2006· article· en· Journal of Global Optimization· Computer Science
distilled prediction:candidate · noneconsensus · none
44
citations
affno abstractunlabeled
Towards global bilevel dynamic optimization
Alexander Mitsos, Benoît Chachuat, Paul I. Barton
2009· article· en· Journal of Global Optimization· Computer Science
distilled prediction:candidate · noneconsensus · none
33
citations
affno abstractunlabeled
Variational Methods in Convex Analysis
Jonathan M. Borwein, Qiji Jim Zhu
2006· article· en· Journal of Global Optimization· Computer Science
distilled prediction:candidate · noneconsensus · none
21
citations
afffundno abstractunlabeled
Cyclic Just-In-Time Sequences Are Optimal
Wiesław Kubiak
2003· article· en· Journal of Global Optimization· Engineering
distilled prediction:candidate · noneconsensus · none
17
citations
fundno affno abstractunlabeled
Abstract convexity of topical functions
H. Mohebi, M. Samet
2013· article· en· Journal of Global Optimization· Computer Science
distilled prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
New heuristic for harmonic means clustering
Emilio Carrizosa, Abdulrahman Alguwaizani, Pierre Hansen, Nenad Mladenović
2014· article· en· Journal of Global Optimization· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Improving Interval Analysis Bounds by Translations
Emilio Carrizosa, Pierre Hansen, Frédéric Messine
2004· article· en· Journal of Global Optimization· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Corrections to: Differentiable McCormick relaxations
Kamil A. Khan, Matthew E. Wilhelm, Matthew D. Stuber, Huiyi Cao, Harry A. J. Watson, Paul I. Barton
2018· article· en· Journal of Global Optimization· Mathematics
distilled prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
An efficient algorithm for maximal margin clustering
Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu
2011· article· en· Journal of Global Optimization· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About