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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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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.

93 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.
93 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 93 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 93 of 93 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
RGB-LiDAR fusion for accurate 2D and 3D object detection
Morteza Mousa-Pasandi, Tianran Liu, Yahya Massoud, Robert Laganière
2023· article· en· Machine Vision and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Scout: a game speed analysis and tracking system
Ping‐Sing Tsai, Todd Meijome, Phillip G. Austin
2007· article· en· Machine Vision and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Camera–projector matching using unstructured video
Marc-Antoine Drouin, Pierre‐Marc Jodoin, Julien Prémont
2011· article· en· Machine Vision and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Efficient omni-image unwarping using geometric symmetry
Zhihui Xiong, Irene Cheng, Anup Basu, Wei Wang, Wei Xu, Maojun Zhang
2010· article· en· Machine Vision and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Active entropy camera
Guangyu Wang
2011· article· en· Machine Vision and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundno abstractunlabeled
Tracking using Numerous Anchor Points
Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger
2017· article· en· Machine Vision and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About