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
Topic
Numerical Methods and Algorithms
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.

452 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.
452 works in the cohort · of 4,299,418page 9 of 10

Labels cover 0 of 452 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 452 of 452 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
Introduction to congruence arithmetic
M. Ram Murty, Kaneenika Sinha
2023· book-chapter· en· Student mathematical library· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Approximate GCD in Bernstein basis
Robert M. Corless, Leili Rafiee Sevyeri
2019· preprint· en· Communications in computer and information science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Approximate GCD in Lagrange bases
Leili Rafiee Sevyeri, Robert M. Corless
2021· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Préface
2017· book-chapter· fr· OpenEdition (OpenEdition)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Continuous Global Optimization: Applications
János D. Pintér
2001· book-chapter· en· Encyclopedia of Optimization· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Fusing Adds and Shifts for Efficient Dot Products
Pavel Golikov, Karthik Ganesan, Gennady Pekhimenko, Mark C. Jeffrey
2025· article· en· IEEE Computer Architecture Letters· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
A RISC architecture for 2DLNS-based signal processing
Mahzad Azarmehr, Roberto Muscedere
2011· article· en· International Journal of High Performance Systems Architecture· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Hardware/software codesign for mathematical function acceleration.
Christopher Kumar Anand, Lucas Dutton, Adele Olejarz, Robert Enenkel, Wolfram Kahl
2018· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Observation of the decay BÌ0âÎc+pÌÏ0
2010· article· en· eScholarship (California Digital Library)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Calculus Expression
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Monte Carlo Methods
Richard H. Enns, George C. McGuire
2001· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
PreciseSums: Accurate Floating Point Sums and Products
Matthew Fidler, Raymond Hettinger, Jonathan Richard Shewchuk, Julian Taylor, Nathaniel T. Smith
2017· dataset· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Solution to Monthly Problem 11277
David H. Bailey, Jonathan M. Borwein
2007· report· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About