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
International Journal of Computer Vision
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.

102 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.
102 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 102 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 102 of 102 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
Plenoptic Image Editing
Steven M. Seitz, Kiriakos N. Kutulakos
2002· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
On Learning Conditional Random Fields for Stereo
Christopher Pal, Jerod Weinman, Lam C. Tran, Daniel Scharstein
2010· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
30
citations
affno abstractunlabeled
Optimal Image and Video Closure by Superpixel Grouping
Alex Levinshtein, Cristian Sminchisescu, Sven Dickinson
2012· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
29
citations
afffundno abstractunlabeled
Video Epitomes
Vincent C. K. Cheung, Brendan J. Frey, Nebojša Jojić
2006· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
27
citations
affno abstractunlabeled
Optical Snow
Michael Langer, Richard Mann
2003· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Learning Generative Models of Scene Features
Robert B. Sim
2004· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Inter-Image Statistics for 3D Environment Modeling
L. Abril Torres-Méndez, Gregory Dudek
2007· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
DeepFlux for Skeleton Detection in the Wild
Yongchao Xu, Yukang Wang, Stavros Tsogkas, Jianqiang Wan, Xiang Bai, Sven Dickinson +1 more
2021· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
On the Sequential Accumulation of Evidence
Tal Arbel, Frank P. Ferrie
2001· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Guest Editorial
Kiriakos N. Kutulakos, Amnon Shashua
2002· article· en· International Journal of Computer Vision· Engineering
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About