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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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Advanced Steganography and Watermarking Techniques
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.

654 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.
654 works in the cohort · of 4,299,418page 13 of 14

Labels cover 0 of 654 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 654 of 654 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.

aboutno affunlabeled
CBCR 3 2008 05 09
2008· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Author index
2016· paratext· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affno abstractunlabeled
Table of contents
2019· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Stable NICE Model-Based Picture Generation for Generative Steganography
Xutong Cui, Zhili Zhou, Jianhua Yang, Chengsheng Yuan, Weixuan Tang
2024· book-chapter· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Hiding Information in 3D Printed Objects by Forming Fine Cavities inside Objects
Kazutake Uehira, Satoru Baba, Masahiro Suzuki, Piyarat Silapasuphakornwong, Hideyuki Torii, Youichi Takashima
2016· article· en· Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
3D Mesh Steganalysis
Hang Zhou, Kejiang Chen, Zehua Ma, Feng Wang, Weiming Zhang
2012· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Future Work and Conclusion
Hang Zhou, Kejiang Chen, Zehua Ma, Feng Wang, Weiming Zhang
2012· book-chapter· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Introduction
Hang Zhou, Kejiang Chen, Zehua Ma, Feng Wang, Weiming Zhang
2012· book-chapter· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Image Secret Sharing
Rastislav Lukàč, Konstantinos N. Plataniotis, Ching‐Nung Yang
2006· article· en· Encyclopedia of Multimedia· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About