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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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Augmented Reality Applications
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.

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 4 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.

afffundunlabeled
Flying Frustum
Nico Li, Stephen Cartwright, Aditya Shekhar Nittala, Ehud Sharlin, Mário Costa Sousa
2015· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
afffundunlabeled
SurfShare
Xincheng Huang, Robert Xiao
2023· article· en· Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
MR image overlay guidance: system evaluation for preclinical use
Paweena U-Thainual, Jan Fritz, Choladawan Moonjaita, Tamás Ungi, Aaron Flammang, John A. Carrino +2 more
2012· article· en· International Journal of Computer Assisted Radiology and Surgery· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
Do I Just Tap My Headset?
Anjali Khurana, Michael Glueck, Parmit K. Chilana
2023· article· en· Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Virtual and Augmented Reality
Xiaojun Shen, Shervin Shirmohammadi
2008· book-chapter· en· Encyclopedia of Multimedia· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
eMedical Teacher
Rachel Ellaway
2010· article· en· Medical Teacher· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
15
citations
affunlabeled
Z-DOC: A Serious Game for Z-Plasty Procedure Training
Robert Shewaga, Aaron Knox, Gary Ng, Bill Kapralos, Adam Dubrowski
2013· article· en· Studies in health technology and informatics· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Guidewire tracking during endovascular neurosurgery
Simon Lessard, Caroline Lau, Ramnada Chav, Gilles Soulez, Daniel Roy, Jacques A. de Guise
2010· article· en· Medical Engineering & Physics· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
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How this was built: Screen · Findings · About