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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.

118 results · 1 filter active ·
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20012025
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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.
118 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 118 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 118 of 118 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.

affno abstractunlabeled
Punctuated simplification of man-made objects
Justin Jang, Peter Wonka, William Ribarsky, Chris Shaw
2005· article· en· The Visual Computer· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Detail-replicating shape stretching
Ibraheem Alhashim, Hao Zhang, Ligang Liu
2011· article· en· The Visual Computer· Engineering
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Segmentation of cam-type femurs from CT scans
Gabriel Telles O’Neill, Won‐Sook Lee, Paul E. Beaulé
2011· article· en· The Visual Computer· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Unique people count from monocular videos
Satarupa Mukherjee, Stephani Gil, Nilanjan Ray
2014· article· en· The Visual Computer· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Visibility volumes for interactive path optimization
Manohar B. Srikanth, P.C. Mathias, Vijay Natarajan, Prakash Naidu, Timothy Poston
2008· article· en· The Visual Computer· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
afffundno abstractunlabeled
Algorithms for computing diffuse reflection paths in polygons
Subir Kumar Ghosh, Partha P. Goswami, Anil Maheshwari, Subhas C. Nandy, Sudebkumar Prasant Pal, Swami Sarvattomananda
2012· article· en· The Visual Computer· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Truncated octree and its applications
Naimin Koh, Pradeep Kumar Jayaraman, Jianmin Zheng
2021· article· en· The Visual Computer· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Latent motion spaces for full-body motion editing
Schubert R. Carvalho, Ronan Boulic, Creto Augusto Vidal, Daniël Thalmann
2012· article· en· The Visual Computer· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Approximate topological matching of quad meshes
David Eppstein, Michael T. Goodrich, Ethan Kim, Rasmus Tamstorf
2009· article· en· The Visual Computer· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
A robust framework for multi-view stereopsis
Wendong Mao, Mingjie Wang, Hui Huang, Minglun Gong
2021· article· en· The Visual Computer· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
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