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
Interactive and Immersive Displays
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.

1,127 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.
1,127 works in the cohort · of 4,299,418page 3 of 23

Labels cover 2 of 1,127 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 1,127 of 1,127 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
Zone and polygon menus
Shengdong Zhao, Maneesh Agrawala, Ken Hinckley
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
79
citations
afffundunlabeled
Contact angle measurement with a smartphone
H. Chen, Jesus L. Muros-Cobos, Alidad Amirfazli
2018· article· en· Review of Scientific Instruments· Computer Science
machine prediction:candidate · noneconsensus · none
79
citations
affunlabeled
Codex
Ken Hinckley, Morgan Dixon, Raman Sarin, François Guimbretière, Ravin Balakrishnan
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
78
citations
affunlabeled
Non-isomorphic 3D rotational techniques
Ivan Poupyrev, Suzanne Weghorst, Sidney Fels
2000· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
76
citations
afffundunlabeled
pCubee
Ian Stavness, Billy Lam, Sidney Fels
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
74
citations
fundno affunlabeled
Smart Blocks
Audrey Girouard, Erin Solovey, Leanne Hirshfield, Stacey Ecott, Orit Shaer, Robert J.K Jacob
2007· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
73
citations
affunlabeled
Occlusion-aware interfaces
Daniel Vogel, Ravin Balakrishnan
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
72
citations
affunlabeled
Card, English, and Burr (1978)
I. Scott MacKenzie, R. William Soukoreff
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
71
citations
affunlabeled
Unipad
I. Scott MacKenzie, Javier Chen, Aleks Oniszczak
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
70
citations
affunlabeled
Safe 3D navigation
George Fitzmaurice, Justin Matejka, Igor Mordatch, Azam Khan, Gordon Kurtenbach
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
69
citations
afffundunlabeled
Graffiti vs. unistrokes
Steven J. Castellucci, I. Scott MacKenzie
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
67
citations
fundno affunlabeled
WorldKit
Robert Xiao, Chris Harrison, Scott E. Hudson
2013· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
67
citations
affunlabeled
Slide to X
Khai N. Truong, Thariq Shihipar, Daniel Wigdor
2014· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
64
citations
affunlabeled
Citeology
Justin Matejka, Tovi Grossman, George Fitzmaurice
2012· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
61
citations
affunlabeled
In the blink of an eye
Albert Ng, Michelle Annett, Paul Dietz, Anoop Gupta, Walter F. Bischof
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
60
citations
affunlabeled
Pressure marks
Gonzalo Ramos, Ravin Balakrishnan
2007· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
60
citations
affunlabeled
SoD-Toolkit
Teddy Seyed, Alaa Azazi, Edwin SY Chan, Yuxi Wang, Frank Maurer
2015· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
59
citations
affunlabeled
Lessons learned
Matthias Finke, Anthony Tang, Rock Leung, Michael Blackstock
2008· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
58
citations
affunlabeled
The proximity factor
Kirstie Hawkey, Melanie Kellar, Derek Reilly, Tara Whalen, Kori Inkpen
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
56
citations
affunlabeled
DefSense
Moritz Bächer, Benjamin Hepp, Fabrizio Pece, Paul G. Kry, Bernd Bickel, Bernhard Thomaszewski +1 more
2016· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
55
citations
afffundunlabeled
Tip-Tap
Keiko Katsuragawa, Ju Wang, Ziyang Shan, Ningshan Ouyang, Omid Abari, Daniel Vogel
2019· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
54
citations

How this was built: Screen · Findings · About