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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 Image Processing Techniques
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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
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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.

427 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.
427 works in the cohort · of 4,299,418page 5 of 9

Labels cover 1 of 427 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 427 of 427 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.

affunlabeled
Crafting the observation model for regularized image up-sampling
Hussein A. Aly, Éric Dubois
2003· article· en· 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
Subpixel Deblurring of Anti‐Aliased Raster Clip‐Art
Junwei Yang, Nicholas Vining, Shima Kheradmand, Nathan Carr, Leonid Sigal, Alla Sheffer
2023· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Convolutional Deblurring for Natural Imaging
Mahdi S. Hosseini, Konstantinos N. Plataniotis
2019· preprint· en· IEEE Transactions on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
An Edge-Sensing Universal Demosaicing Algorithm
Alain Horé, Djemel Ziou
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Mobile Computational Photography: A Tour
Mauricio Delbracio, Damien P. Kelly, Michael S. Brown, Peyman Milanfar
2021· preprint· en· Annual Review of Vision Science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About