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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 Vision and Imaging
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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.

1,705 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.
1,705 works in the cohort · of 4,299,418page 4 of 35

Labels cover 1 of 1,705 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 1,705 of 1,705 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
Deep generative models for galaxy image simulations
François Lanusse, Rachel Mandelbaum, Siamak Ravanbakhsh, Chunliang Li, Peter E. Freeman, Barnabás Póczos
2021· article· en· Monthly Notices of the Royal Astronomical Society· Computer Science
machine prediction:candidate · noneconsensus · none
47
citations
affunlabeled
Globally Consistent Space‐Time Reconstruction
T. Popa, I. South‐Dickinson, Derek Bradley, Alla Sheffer, Wolfgang Heidrich
2010· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
Deep Lambertian Networks
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2012· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Multi-Volumetric Refocusing of Light Fields
Sakila S. Jayaweera, Chamira U. S. Edussooriya, Chamith Wijenayake, P. Agathoklis, L.T. Bruton
2020· article· en· IEEE Signal Processing Letters· Computer Science
machine prediction:candidate · noneconsensus · none
44
citations
afffundno abstractunlabeled
The Agile Stereo Pair for active vision
E. Samson, Denis Laurendeau, Marc Parizeau, Sylvain Comtois, Jean-François Allan, Clément Gosselin
2006· article· en· Machine Vision and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
Optimal Structured Light a la Carte
Parsa Mirdehghan, Wenzheng Chen, Kiriakos N. Kutulakos
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
Glare encoding of high dynamic range images
Mushfiqur Rouf, Rafał Mantiuk, Wolfgang Heidrich, Matthew Trentacoste, Cheryl Lau
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Modeling fish-eye lenses
Anup Basu, Sergio Licardie
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Cut-out image mosaics
Jeff Orchard, Craig S. Kaplan
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations

How this was built: Screen · Findings · About