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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.

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.

affaffiliation
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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.

355 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.
355 works in the cohort · of 4,299,418page 5 of 8

Labels cover 0 of 355 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 355 of 355 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
Visualization Techniques for Schedule Comparison
Dandan Huang, Melanie Tory, Sheryl Staub‐French, Rachel Pottinger
2009· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Near‐Isometric Level Set Tracking
Michael Tao, Justin Solomon, Adrian Butscher
2016· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
fundno affunlabeled
Animating Causal Overlays
Lyn Bartram, Miao Yao
2008· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
The Undistort Lens
John Brosz, Sheelagh Carpendale, Miguel A. Nacenta
2011· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Shadowing Dynamic Scenes with Arbitrary BRDFs
Derek Nowrouzezahrai, Evangelos Kalogerakis, Eugene Fiume
2009· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
afffundunlabeled
Multiphysics Simulation Methods in Computer Graphics
Daniel Holz, Stefan Rhys Jeske, Fabian Löschner, Jan Bender, Yin Yang, Sheldon Andrews
2025· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Adaptive Representation of Specular Light
Normand Brière, Pierre Poulin
2001· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Neural Semantic Surface Maps
Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra
2024· article· en· Computer Graphics Forum· Engineering
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Physically Based Video Editing
Jean‐Charles Bazin, Claudia Plüss, Gang Yu, Tobías Martín, Alec Jacobson
2016· article· en· Computer Graphics Forum· Engineering
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Resolution Independent NPR‐Style 3D Line Textures
Kristin Potter, Amy A. Gooch, Bruce Gooch, Peter Willemsen, Joe Kniss, Richard F. Riesenfeld +1 more
2009· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Compressive Volume Rendering
Xiaoyang Liu, Usman Alim
2015· article· en· Computer Graphics Forum· Engineering
machine prediction:candidate · noneconsensus · none
7
citations

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