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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
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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
Evidence
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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 5 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.

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
affunlabeled
IVY: The Immersive Visual environment at York
Michael G. Robinson, Jean-Roch Laurence, James E. Zacher, Andrew Hogue, Robert S. Allison, Lara Harris +2 more
2001· article· en· Nature· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
VR and AR simulator for neurosurgical training
Sandrine de Ribaupierre, Ryan T. Armstrong, Dayna Noltie, Matt Kramers, Roy Eagleson
2015· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
C-arm rotation encoding with accelerometers
Victor Grzeda, Gábor Fichtinger
2010· article· en· International Journal of Computer Assisted Radiology and Surgery· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
ProjectDR
Ian Watts, Pierre Boulanger, Greg Kawchuk
2017· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Coglobe
Qian Zhou, Georg Hagemann, Sidney Fels, Dylan Fafard, Andrew Wagemakers, Chris Chamberlain +1 more
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
From Tangible to Augmented
Min Fan, Alissa N. Antle, Shubhra Sarker
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Augmented Reality Visualization for Sailboats (ARVS)
Eduard Wisernig, Tanmana Sadhu, Catlin Zilinski, Brian Wyvill, Alexandra Branzan Albu, Maia Hoeberechts
2015· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
A navigation system for shoulder arthroscopic surgery
Kathrin Tyryshkin, Parvin Mousavi, Maarten Beek, R.E. Ellis, David R. Pichora, Purang Abolmaesumi
2007· article· en· Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Demo
Shahram Payandeh, John C. Dill, Graham Wilson, Hui Zhang, Lilong Shi, A J Lomax +1 more
2003· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
10
citations

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