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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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Teleoperation and Haptic Systems
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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.

828 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.
828 works in the cohort · of 4,299,418page 13 of 17

Labels cover 0 of 828 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 828 of 828 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Editorial: Haptic training simulation, volume III
Carlos Rossa, Xiaojun Chen, Troy McDaniel, Arnaud Lelevé
2025· editorial· en· Frontiers in Robotics and AI· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
aboutno affunlabeled
News from the Field: Courses in Haptics
Lynette A. Jones
2014· article· en· IEEE Transactions on Haptics· Engineering
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Haptics: A Key to Fast Paced Interactivity
Vincent Hayward
2001· book-chapter· en· Elsevier eBooks· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
2
citations
affunlabeled
The Way You Move
Martin Feick, Lora Oehlberg, Anthony Tang, André Miede, Ehud Sharlin
2018· article· en· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Dynamics of Multibody Haptic Systems
Sara Shayan Amin, Jo ́zsef Ko ̈vecses
2011· article· en· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Recursive state-parameter estimation of haptic robotic systems
Arash Mohtat, Kamran Ghaffari Toiserkan, J. Kövecses
2011· article· en· 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Force–Position Control for Fast Tube Insertion
Tong Heng Lee, Wenyu Liang, Clarence W. de Silva, Kok Kiong Tan
2020· book-chapter· en· Advances in industrial control· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affaboutunlabeled
Safeguarding teleoperation using automotive radar sensors
J. Giesbrecht, Blaine Fairbrother
2011· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Evalutation of UML CASE tool with haptics
Mohamad Eid, Atif Alamri, Jamil Melhem, Abdulmotaleb El Saddik
2008· article· en· Ambient Media and Systems· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About