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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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Augmented Reality Applications
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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.

883 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.
883 works in the cohort · of 4,299,418page 9 of 18

Labels cover 2 of 883 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 883 of 883 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
Becoming Derivative in an AR Environment
Nathalie Sinclair
2025· article· en· Digital Experiences in Mathematics Education· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Cognitive cubes
Ehud Sharlin, Yuichi Itoh, Benjamin Watson, Yoshifumi Kitamura, Steve Sutphen, Lili Liu
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Toward development of 3D surgical mouse paradigm
Xiaochuan Sun, Shahram Payandeh
2011· article· en· 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Low-Cost 3D Holographic Display With Gesture Control
Saima Bibi, Ayesha Imran, Safwan Saud, Mukesh Kumar Maheshwari, Bhawani Shankar Chowdhry, Waleed Ejaz
2023· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
AR in the Gallery
Juliano Franz, Mohammed Alnusayri, Joseph Malloch, Akshay Gahlon, Derek Reilly
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Mixed Reality Alters Motor Planning and Control
Xiaoye Michael Wang, Michael A. Nitsche, Gabby Resch, Ali Mazalek, Timothy N. Welsh
2024· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Cutting corners: donning under duress–a VR teaching tool
Shikha Bansal, Julian Wiegelmann, Clyde Matava, Catherine Bereznicki, Fahad Alam
2021· article· en· Canadian Medical Education Journal· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Towards a shared large-area mixed reality system
Naimul Khan, Xiaoming Nan, Nan Dong, Yifeng He, Matthew Kyan, Jennifer James +2 more
2023· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About