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
IEEE Transactions on Visualization and Computer Graphics
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.

288 results · 1 filter active ·
Results by year
20042025
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.
288 works in the cohort · of 4,299,418page 1 of 6

Labels cover 1 of 288 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 288 of 288 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
Empirical Studies in Information Visualization: Seven Scenarios
H. Lam, Enrico Bertini, Petra Isenberg, Catherine Plaisant, Sheelagh Carpendale
2011· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
628
citations
affunlabeled
NodeTrix: a Hybrid Visualization of Social Networks
Nathalie Henry, Jean‐Daniel Fekete, Michael J. McGuffin
2007· article· en· IEEE Transactions on Visualization and Computer Graphics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
553
citations
afffundunlabeled
Human factors in visualization research
Melanie Tory, Torsten Möller
2004· review· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
411
citations
afffundunlabeled
What Do We Talk About When We Talk About Dashboards?
Alper Sarıkaya, Michael Correll, Lyn Bartram, Melanie Tory, Danyel Fisher
2018· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
374
citations
affunlabeled
A Survey of Visualization Systems for Network Security
Hadi Shiravi, Ali Shiravi, Ali A. Ghorbani
2011· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
277
citations
affunlabeled
Embedded Data Representations
Wesley Willett, Yvonne Jansen, Pierre Dragicevic
2016· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
252
citations
afffundunlabeled
Personal Visualization and Personal Visual Analytics
Dandan Huang, Melanie Tory, Bon Adriel Aseniero, Lyn Bartram, Scott Bateman, Sheelagh Carpendale +2 more
2014· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
240
citations
affunlabeled
A Visual Backchannel for Large-Scale Events
Marian Dörk, Daniel M. Gruen, Carey Williamson, Sheelagh Carpendale
2010· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
203
citations
affunlabeled
Glimmer: Multilevel MDS on the GPU
Stephen Ingram, Tamara Munzner, Marc Olano
2008· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
186
citations
affunlabeled
Shape: A 3D Modeling Tool for Astrophysics
W. Steffen, Nicholas Koning, Stephan Wenger, C. Morisset, Marcus Magnor
2010· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
185
citations
affunlabeled
PivotPaths: Strolling through Faceted Information Spaces
Marian Dörk, Nathalie Henry Riche, Gonzalo Ramos, Susan Dumais
2012· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
175
citations
affunlabeled
SparkClouds: Visualizing Trends in Tag Clouds
Bongshin Lee, Nathalie Henry Riche, Amy Karlson, Sheelash Carpendale
2010· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
168
citations
affunlabeled
MizBee: A Multiscale Synteny Browser
Miriah Meyer, Tamara Munzner, Hanspeter Pfister
2009· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
160
citations
fundaboutno affunlabeled
Four Experiments on the Perception of Bar Charts
Justin Talbot, Vidya Setlur, Anushka Anand
2014· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
132
citations
afffundunlabeled
Authoring Data-Driven Videos with DataClips
Fereshteh Amini, Nathalie Henry Riche, Bongshin Lee, Andrés Monroy‐Hernández, Pourang Irani
2016· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
126
citations
fundno affunlabeled
Perceptual Guidelines for Creating Rectangular Treemaps
Nan Kong, Jeffrey Heer, Maneesh Agrawala
2010· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
111
citations
affunlabeled
What is Interaction for Data Visualization?
Evanthia Dimara, Charles Périn
2019· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
105
citations
affunlabeled
A Comparison of User-Generated and Automatic Graph Layouts
Tim Dwyer, Bongshin Lee, Danyel Fisher, Krystle Quinn, Petra Isenberg, George Robertson +1 more
2009· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
99
citations
affunlabeled
Visual Thinking In Action: Visualizations As Used On Whiteboards
Jagoda Walny, Sheelagh Carpendale, Nathalie Henry Riche, Gina Venolia, Phil Fawcett
2011· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
92
citations
next →

How this was built: Screen · Findings · About