MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Computer Graphics and Visualization Techniques
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.

1,194 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.
1,194 works in the cohort · of 4,299,418page 17 of 24

Labels cover 1 of 1,194 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 1,194 of 1,194 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.

fundno affunlabeled
Adaptive Importance Caching for Many-Light Rendering.
Hiroshi Yoshida, Kosuke Nabata, Kei Iwasaki, Yoshinori Dobashi, Tomoyuki Nishita
2015· article· en· Digital Library (University of West Bohemia)· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
InsightSoftwareConsortium/itkwidgets: itkwidgets 0.32.0
Matthew McCormick, Alex A. Kaszynski, Marco Musy, Alex Remedios, Bane Sullivan, Dave Chen +10 more
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
afffundunlabeled
An Algorithmic Approach to Decorative Content Placement
Jonathan Tremblay, Clark Verbrugge
2015· article· en· Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The Impulse Particle‐In‐Cell Method
Sergio Sancho, Jingwei Tang, Christopher Batty, Vinícius C. Azevedo
2024· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Differentiable Curl-Noise
Xinwen Ding, Christopher Batty
2023· article· en· Proceedings of the ACM on Computer Graphics and Interactive Techniques· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Axis‐Normalized Ray‐Box Intersection
Fabian Friederichs, Carsten Benthin, Steve Grogorick, Elmar Eisemann, Marcus Magnor, Martin Eisemann
2025· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Eulerian-on-lagrangian cloth
Kyle Piddington, David Levin, Dinesh K. Pai, Shinjiro Sueda
2015· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundno abstractunlabeled
Simulation of the ball lightning phenomenon
Petri Matthew Varsa, Jon Rokne
2006· article· en· Computers & Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Fast motion drags shape
Mark Wexler, Patrick Cavanagh
2019· article· en· Journal of Vision· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The Rayset and Its Applications
Minglun Gong, Yee‐Hong Yang
2001· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Defining Hatching in Art
Greg Philbrick, Craig S. Kaplan
2019· article· en· Eurographics· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Characterisations of the parabola
Steven J. Kilner, David L. Farnsworth
2019· article· en· The Mathematical Gazette· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Pixelating Vector Line Art
Tiffany C. Inglis, Craig S. Kaplan
2012· article· en· Eurographics· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Energized Rigid Body Fracture
Xiaokai Li, Sheldon Andrews, Ben Jones, Adam W. Bargteil
2018· article· en· Proceedings of the ACM on Computer Graphics and Interactive Techniques· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Improved Volume Scattering
Haysn Hornbeck, Usman Alim
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
← previousnext →

How this was built: Screen · Findings · About