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
Lecture notes in computer science
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.

11,332 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.
11,332 works in the cohort · of 4,299,418page 135 of 227

Labels cover 8 of 11,332 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 11,332 of 11,332 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
Packing Trees in Communication Networks
Mohamed Saad, Tamás Terlaky, Anthony Vannelli, Hu Zhang
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Improving Co-training with Agreement-Based Sampling
Jin Huang, Jelber Sayyad Shirabad, Stan Matwin, Su Jiang
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Sparse Polynomial Arithmetic with the BPAS Library
Mohammadali Asadi, Alexander Brandt, Robert H. C. Moir, Marc Moreno Maza
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
PiXi: Password Inspiration by Exploring Information
Shengqian Wang, Amirali Salehi‐Abari, Julie Thorpe
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Multilinear Games
Hau Chan, Albert Xin Jiang, Kevin Leyton‐Brown, Ruta Mehta
2016· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Learning with Randomized Majority Votes
Alexandre Lacasse, François Laviolette, Mario Marchand, Francis Turgeon-Boutin
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
Detection of Redacted Text in Legal Documents
Ruben van Heusden, Aron de Ruijter, Roderick Majoor, M. Marx
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Shortest Coordinated Motion for Square Robots
Guillermo Esteban, Dan Halperin, Víctor Ruíz, Vera Sacristán, Rodrigo I. Silveira
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
Artificial Intelligence in Medicine
2024· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Internet of Things
Aurora González-Vidal, Essaïd Sabir, Sébastien Ziegler, Latif Ladid
2022· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
COCA Filters: Co-occurrence Aware Bloom Filters
Kamran Tirdad, Pedram Ghodsnia, J. Ian Munro, Alejandro López-Ortiz
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Algorithms in the Ultra-Wide Word Model
Arash Farzan, Alejandro López-Ortíz, Patrick K. Nicholson, Alejandro Salinger
2015· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About