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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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Video Analysis and Summarization
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
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 ·
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20002025
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Machine labels · sparse coverage
Evidence
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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 10 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Digital Video Search
University Research Chair
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Graphical View of Blog Content Using B2G.
Sabine Bergler, Jahnavi Dhananjay
2015· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Schema Matching
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Sports Field Localization using Memory Networks
Pascale Walters, David A. Clausi, Alexander Wong
2019· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Video Annotation
University Research Chair
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
venueno affunlabeled
Un modèle d'indexation de la vidéo
Ibrahima Mbaye, José Martinez, Rachid Oulad Haj Thami
2003· article· fr· Ingénierie des systèmes d information· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
affno abstractunlabeled
Video Chaptering
LING LIU, M. TAMER ÖZSU
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Tagbly: Enhanced Multimedia
Vanessa Figueiredo, Wilter Franceschi
2021· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
CSCW 2000 video program
Andreas Girgensohn, Alison Lee
2000· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Workshop: LXD - Where UXD Meets ID
Saul Carliner
2023· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
York_University at TRECVID 2010.
Jun Miao, Jimmy Xiangji Huang, Qinmin Hu
2010· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About