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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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Image and Video Stabilization
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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.

42 results · 1 filter active ·
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20052025
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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.
42 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 42 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 42 of 42 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
MeshFlow: Minimum Latency Online Video Stabilization
Shuaicheng Liu, Ping Tan, Lu Yuan, Jian Sun, Bing Zeng
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
151
citations
fundno affunlabeled
Exploring image registration techniques for layered sensing
Olga Mendoza-Schrock, James A. Patrick, Matthew Garing
2009· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
A perspective on Salvelinus research
Colin E. Adams, Eva Brännäs, Brian Dempson, Rune Knudsen, Ian McCarthy, Michael Power +1 more
2010· article· en· Hydrobiologia· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
3D Subtitles Superimposed Technical Overview
Xin Yao Zhang, Shao Bin Li, Shan Zhen Lan, Jing Wang
2013· article· en· Applied Mechanics and Materials· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Explorations of Prosody in Vietnamese Language
Tang Le, Anh-Viêt Nguyên
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About