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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.

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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.

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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.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,448 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,448 works in the cohort · of 4,299,418page 1 of 29

Labels cover 4 of 1,448 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 1,448 of 1,448 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
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
Useful junk?
Scott Bateman, Regan L. Mandryk, Carl Gutwin, Aaron Genest, David McDine, Christopher Brooks
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
404
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
fundno affunlabeled
Sizing the horizon
Jeffrey Heer, Nicholas Kong, Maneesh Agrawala
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
298
citations
affunlabeled
Keepin' it real
Anand Agarawala, Ravin Balakrishnan
2006· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
292
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
Evaluating visualizations: do expert reviews work?
Melanie Tory, Torsten Möller
2005· article· en· IEEE Computer Graphics and Applications· Computer Science
machine prediction:candidate · metaresearchconsensus · metaresearch
217
citations
afffundunlabeled
Acquisition of expanding targets
Michael J. McGuffin, Ravin Balakrishnan
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
210
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
affno abstractunlabeled
Medial Representations
Stephen M. Pizer
2008· book· en· Computational imaging and vision· Computer Science
machine prediction:candidate · noneconsensus · none
194
citations
afffundunlabeled
The bohemian bookshelf
Alice Thudt, Uta Hinrichs, Sheelagh Carpendale
2012· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
189
citations
affunlabeled
TreeJuxtaposer
Tamara Munzner, François Guimbretière, Serdar Taşiran, Li Zhang, Y. Zhou
2003· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
183
citations
afffundunlabeled
Constructive visualization
Samuel Huron, Sheelagh Carpendale, Alice Thudt, Anthony Tang, Michael Mauerer
2014· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
178
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
Using deformations for browsing volumetric data
Michael J. McGuffin, L. Tancau, Ravin Balakrishnan
2004· article· en· IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control· Computer Science
machine prediction:candidate · noneconsensus · none
175
citations
affunlabeled
Same Stats, Different Graphs
Justin Matejka, George Fitzmaurice
2017· article· en· Computer Science
machine prediction:candidate · metaresearchconsensus · none
171
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
affunlabeled
State of the Art of Sports Data Visualization
Charles Périn, Romain Vuillemot, Charles D. Stolper, John Stasko, Jo Wood, Sheelagh Carpendale
2018· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
157
citations
afffundunlabeled
Inductive Graph Neural Networks for Spatiotemporal Kriging
Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
151
citations
affunlabeled
User-adaptive information visualization
Ben Steichen, Giuseppe Carenini, Cristina Conati
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
148
citations
affunlabeled
NIH-NSF visualization research challenges report summary
Tamara Munzner, Christopher R. Johnson, Robert Moorhead, Hanspeter Pfister, Penny Rheingans, T.S. Yoo
2006· article· en· IEEE Computer Graphics and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
142
citations
venueno affunlabeled
Visualizing the Dynamics of London's Bicycle-Hire Scheme
Jo Wood, Aidan Slingsby, Jason Dykes
2011· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Computer Science
machine prediction:candidate · noneconsensus · none
142
citations
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