MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Video Analysis and Summarization
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

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 ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
486 works in the cohort · of 4,299,418page 2 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.

affno abstractunlabeled
YouTube Scale, Large Vocabulary Video Annotation
Nicholas Morsillo, Gideon Mann, Christopher Pal
2010· book-chapter· en· Studies in computational intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Collaborative capturing, interpreting, and sharing of experiences
Yasuyuki Sumi, Sadanori Ito, Tetsuya Matsuguchi, Sidney Fels, Shoichiro Iwasawa, Kenji Mase +2 more
2006· article· en· Personal and Ubiquitous Computing· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
afffundaboutunlabeled
ATR-Vis
Raheleh Makki, Eder José de Carvalho, Axel J. Soto, Stephen Brooks, Maria Cristina Ferreira de Oliveira, Evangelos Milios +1 more
2018· article· en· ACM Transactions on Knowledge Discovery from Data· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
18
citations
affunlabeled
Rule-based scene extraction from video
Lei Chen, M. TAMER ÖZSU
2003· article· en· Proceedings - International Conference on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Sports Video Analysis on Large-Scale Data
Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes
2022· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
LACES
Dustin Freeman, Stephanie Santosa, Fanny Chevalier, Ravin Balakrishnan, Karan Singh
2014· preprint· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
14
citations
affunlabeled
Scene change detection in MPEG domain
N. Gamaz, Xiaodong Huang, S. Panchanathan
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
fundno affunlabeled
VideoPuzzle: Descriptive One-Shot Video Composition
Qiang Chen, Meng Wang, Zhongyang Huang, Hua Yang, Song Zheng, Shuicheng Yan
2012· article· en· IEEE Transactions on Multimedia· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Authoring edutainment content through video annotations and 3D model augmentation
A. Rahman, Jongeun Cha, Abdulmotaleb El Saddik
2009· article· en· Proceedings of the ... IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems./Proceedings of the ... IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems· Computer Science
machine prediction:candidate · noneconsensus · none
12
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
afffundunlabeled
EduNuggets
Eleni Stroulia, Kavita Jari
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About