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
Advanced Vision and Imaging
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.

1,705 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.
1,705 works in the cohort · of 4,299,418page 28 of 35

Labels cover 1 of 1,705 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 1,705 of 1,705 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
Gain Adaptation in Virtual Reality
Teng Xue, Laurie M. Wilcox, Robert S. Allison
2024· article· en· Journal of Vision· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
4-DoF Tracking for Robot Fine Manipulation Tasks
Mennatullah Siam, Abhineet Singh, Camilo Perez, Martin Jägersand
2017· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Doubly-MRF stereo matching
Li Cheng, Terry Caelli
2003· article· en· 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas Guibas +1 more
2023· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Visualistic Approach in Aerodynamics
Eric C. Marineau, Marcelo Reggio, J.-Y. Tre ́panier, Benoı̂t Ozell
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Gaze driven animation of eyes
Debanga Raj Neog, Anurag Ranjan, João Libório Cardoso, Dinesh K. Pai
2015· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Light Field-Based Rendering
Zhijiang Zhang
2008· article· en· Microcomputer applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Active Stereo Vision
Andrew Hogue, Michael Jenkin
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Perception of Motion Transparency: Reverse Phi
Mohana Kuppuswamy Parthasarathy, Vasudevan Lakshminarayanan
2019· article· en· Investigative Ophthalmology & Visual Science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Iterative Computation of Camera Paths
Ming Yan, Robert Laganière, Gerhard Roth
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Neighbourhood-based vision systems
2011· article· en· WinnSpace (University of Winnipeg)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
A survey on RGB-D datasets
Hélio Pedrini
2022· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About