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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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Advanced Image and Video Retrieval 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.

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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.

1,044 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.
1,044 works in the cohort · of 4,299,418page 7 of 21

Labels cover 2 of 1,044 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 1,044 of 1,044 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Retrieving poorly degraded OCR documents
Y. Fataicha, Mohamed Cheriet, Jian‐Yun Nie, C.Y. Suen
2005· article· en· International Journal on Document Analysis and Recognition (IJDAR)· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
12
citations
affunlabeled
Online navigation summaries
Yogesh Girdhar, Gregory Dudek
2010· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Visual objects refine head direction coding
Dominique Siegenthaler, Henry Denny, Sofía Skromne Carrasco, Daniel Levenstein, Adrien Peyrache, Stuart Trenholm +1 more
2025· article· en· Science· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affunlabeled
AdGAP: Advanced Global Average Pooling
Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury
2018· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Spider
Naghmeh Khodabakhshi, Mohamed Hefeeda
2013· article· en· ACM Transactions on Multimedia Computing Communications and Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Searching as learning (SAL) workshop 2014
Luanne Freund, Jiyin He, Jacek Gwizdka, Noriko Kando, Preben Hansen, Soo Young Rieh
2014· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Mobile robot that can read symbols
François Michaud, Dominic Létourneau
2002· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Surveillance video retrieval: what we have already done?
Thi‐Lan Le, Alain Boucher, Monique Thonnat, François Brémond
2010· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
10
citations
afffundunlabeled
A FAST APPROACH FOR STITCHING OF AERIAL IMAGES
A. Moussa, N. El-Sheimy
2016· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Computer Science
distilled prediction:candidate · stsconsensus · none
10
citations
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