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
Face recognition 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.

596 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.
596 works in the cohort · of 4,299,418page 2 of 12

Labels cover 2 of 596 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 596 of 596 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.

affunlabeled
NONITERATIVE 3D FACE RECONSTRUCTION BASED ON PHOTOMETRIC STEREO
Sang‐Woong Lee, Patrick S. P. Wang, Svetlana Yanushkevich, Seong–Whan Lee
2008· article· en· International Journal of Pattern Recognition and Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
fundno affunlabeled
FaceGuard: A Wearable System To Avoid Face Touching
Allan Michael Michelin, Γεώργιος Κορρές, Sara Ba’ara, Hadi Assadi, Haneen Alsuradi, Rony R. Sayegh +2 more
2021· article· en· Frontiers in Robotics and AI· Computer Science
machine prediction:candidate · noneconsensus · none
28
citations
afffundunlabeled
Masked Face Recognition From Synthesis to Reality
Gee-Sern Hsu, Hung‐Yi Wu, Chun-Hung Tsai, Svetlana Yanushkevich, Marina L. Gavrilova
2022· article· en· IEEE Access· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Audio-Visual Kinship Verification in the Wild
Xiaoting Wu, Éric Granger, Tomi Kinnunen, Xiaoyi Feng, Abdenour Hadid
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
FDDB-360: Face Detection in 360-Degree Fisheye Images
Jianglin Fu, Saeed Ranjbar Alvar, Ivan V. Bajić, Rodney G. Vaughan
2019· preprint· en· 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, Christopher Pal
2018· article· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
The conceptual structure of face impressions
Ryan M. Stolier, Eric Hehman, Matthias Keller, Mirella Walker, Jonathan B. Freeman
2018· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Experiments in Artimetrics: Avatar Face Recognition
Roman V. Yampolskiy, Gyuchoon Cho, Richard Rosenthal, Marina L. Gavrilova
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations

How this was built: Screen · Findings · About