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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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Human Motion and Animation
Retraction
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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.

523 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.
523 works in the cohort · of 4,299,418page 5 of 11

Labels cover 0 of 523 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 523 of 523 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
MoComp
Carl Malmström, Yaying Zhang, Philippe Pasquier, Thecla Schiphorst, Lyn Bartram
2016· article· en· Engineering
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
Global Position Prediction for Interactive Motion Capture
Paul Schreiner, Maksym Perepichka, Hayden Lewis, Sune Darkner, Paul G. Kry, Kenny Erleben +1 more
2021· article· en· Proceedings of the ACM on Computer Graphics and Interactive Techniques· Engineering
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
New Techniques for Combined FEM-Multibody Anatomical Simulation
John E. Lloyd, Antonio Sánchez, Erik Widing, Ian Stavness, Sidney Fels, Siamak Niroomandi +3 more
2019· book-chapter· en· Lecture notes in computational vision and biomechanics· Engineering
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
The ANIMUS project
Daniel Torres, Pierre Boulanger
2003· article· en· Engineering
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Towards agile animated characters
Michiel van de Panne, Joseph Laszlo, P-H. Lee H-K. Huang, Petros Faloutsos
2002· article· en· Engineering
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Feature-based locomotion controllers
Martin de Lasa, Igor Mordatch, Aaron Hertzmann
2010· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Reality-based Modeling with ACME: A Progress Report
Dinesh K. Pai, Jochen Lang, John E. Lloyd, Joshua L. Richmond
2007· book-chapter· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
Motion doodles
Matthew Thorne, David Burke, Michiel van de Panne
2006· article· en· Engineering
machine prediction:candidate · noneconsensus · none
7
citations
venueno affunlabeled
Towards a Cybernetic Model of Human Movement
H. Hemami, Eric Tarr, Boren Li, Ashok Krishnamurthy, Bradley D. Clymer, Behzad Dariush
2016· article· en· Mechanical Engineering Research· 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
Hamlet
Krzysztof Pietroszek, Christian Eckhardt, Liudmila Tahai
2018· article· en· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
6
citations
affunlabeled
UniMuMo: Unified Text, Music, and Motion Generation
Yang Han, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu +1 more
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
PaintBoard
Daniel J. Rea, Takeo Igarashi, James E. Young
2014· article· en· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Flexible Motion Optimization with Modulated Assistive Forces
Nam Hee Kim, Hung Yu Ling, Zhaoming Xie, Michiel van de Panne
2021· article· en· Proceedings of the ACM on Computer Graphics and Interactive Techniques· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Designing the Unexpected
Lindsay MacDonald, John Brosz, Miguel A. Nacenta, Sheelagh Carpendale
2015· article· en· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Analysis of Timpani Preparatory Gesture Parameterization
Alexandre Bouënard, Marcelo M. Wanderley, Sylvie Gibet
2009· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· 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
affunlabeled
Too Stiff, Too Strong, Too Smart
Kaixiang Xie, Pei Xu, Sheldon Andrews, Victor Zordan, Paul G. Kry
2023· article· en· Proceedings of the ACM on Computer Graphics and Interactive Techniques· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
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