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
3D Shape Modeling and Analysis
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.

872 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.
872 works in the cohort · of 4,299,418page 13 of 18

Labels cover 1 of 872 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 872 of 872 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
SAGA-net
Liuyue Xie, Tinglin Duan, Kenji Shimada
2022· article· en· ACM SIGAPP Applied Computing Review· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Exaggeration of extremely detailed 3d faces
Andrew Soon, Won‐Sook Lee
2006· article· en· Internet, Multimedia Systems and Applications· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Interacting with Self-Similarity
Josef Graus, Alec Jacobson, Yotam Gingold
2020· article· en· Computer-Aided Design· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Integrated modeling systems for 3D vision
Antonio Vettore, Alberto Guarnieri, Richard Levy
2005· article· en· Research Padua Archive (University of Padua)· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
On the Computation of 3D Visibility Skeletons
Sylvain Lazard, Christophe Weibel, Sue Whitesides, Linqiao Zhang
2010· book-chapter· en· Lecture notes in computer science· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Solid-Shell Labeling for Discrete Surfaces
Siqi Wang, Janos Meny, Izak Grguric, Mehdi Rahimzadeh, Denis Zorin, Daniele Panozzo +1 more
2025· article· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Mesh Oversegmentation with Segmentation-Aware Loss
Jibril Muhammad Adam, Muhammad Kamran Afzal, Zang Yu, Saifullahi Aminu Bello, Cheng Wang, Jonathan Li
2022· article· en· Information Sciences· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Prime gradient noise
Sheldon Taylor, Owen Sharpe, Jiju Peethambaran
2021· article· en· Computational Visual Media· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Minuet: Accelerating 3D Sparse Convolutions on GPUs
Jiacheng Yang, Christina Giannoula, Jun Wu, Mostafa Elhoushi, James Gleeson, Gennady Pekhimenko
2024· article· en· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
← previousnext →

How this was built: Screen · Findings · About