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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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Video Analysis and Summarization
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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.

486 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.
486 works in the cohort · of 4,299,418page 3 of 10

Labels cover 0 of 486 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 486 of 486 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.

afffundunlabeled
EduNuggets
Eleni Stroulia, Kavita Jari
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
A Generic Approach for Systematic Analysis of Sports Videos
Ning Zhang, Ling‐Yu Duan, Lingfang Li, Qingming Huang, Jun Du, Wen Gao +1 more
2012· article· en· ACM Transactions on Intelligent Systems and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Video Summarization Overview
Mayu Otani, Yale Song, Yang Wang
2022· article· en· Foundations and Trends® in Computer Graphics and Vision· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affaboutunlabeled
Key-text spotting in documentary videos using Adaboost
Marc Lalonde, L. Gagnon
2006· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
ISSv3
Sebouh-Steve Bardakjian, Serguei A. Mokhov, Miao Song, Sudhir P. Mudur
2016· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
ViDeX
Matthew Fong, Samuel Dodson, Xueqin Zhang, Ido Roll, Sidney Fels
2018· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
9
citations
affunlabeled
MediaDiver
Gregor Miller, Sidney Fels, Abir Al Hajri, Michael Ilich, Zoltan Foley-Fisher, Manuel Fernández +1 more
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Multimedia Content Repurposing
Abdulmotaleb El Saddik, Md. Shamim Hossain
2006· book-chapter· en· Encyclopedia of Multimedia· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
A web-enabled video indexing system
Jian Zhou, Xiao–Ping Zhang
2004· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Wolverine: A Distributed Scene-Graph Library
François Chardavoine, Sylvain Ageneau, Benoı̂t Ozell
2005· article· en· PRESENCE Virtual and Augmented Reality· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
Knowledge creation through recommender systems
Taylor Arnold, Peter Leonard, Lauren Tilton
2017· article· en· Digital Scholarship in the Humanities· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Introduction to Multimedia
Ze-Nian Li, Mark S. Drew, Jiangchuan Liu
2014· book-chapter· en· Texts in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Video Navigation with a Personal Viewing History
Abir Al-Hajri, Gregor Miller, Sidney Fels, Matthew Fong
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Similarity Measures to Compare Episodes in Modeled Traces
Raafat Zarka, Amélie Cordier, Elöd Egyed-Zsigmond, Luc Lamontagne, Alain Mille
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Scout: a game speed analysis and tracking system
Ping‐Sing Tsai, Todd Meijome, Phillip G. Austin
2007· article· en· Machine Vision and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Jiku director
Duong-Trung-Dung Nguyen, Mukesh Saini, Vu-Thanh Nguyen, Wei Tsang Ooi
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About