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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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Modular Robots and Swarm Intelligence
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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.

708 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.
708 works in the cohort · of 4,299,418page 4 of 15

Labels cover 1 of 708 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 708 of 708 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
Reach-to-Grasp Behavior
2018· book· en· Engineering
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Bio-inspired Navigation of Mobile Robots
Lei Wang, Simon X. Yang, Mohammad Biglarbegian
2012· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Model-Based Programming of Modular Robots
David Arney, Sebastian Fischmeister, Insup Lee, Yoshihito Takashima, Mark Yim
2010· article· en· Engineering
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Acropolis: A Fast Protoyping Robotic Application
Vincent Zalzal, Raphael Gava, Sousso Kélouwani, Paul R. Cohen
2009· article· en· International Journal of Advanced Robotic Systems· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
venueno affunlabeled
On Fiber Rejection Loss in Flotation Deinking
J. Y. Zhu, Freya Tan
2008· article· en· The Canadian Journal of Chemical Engineering· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
affaboutunlabeled
Gone swimmin' [seagoing robots]
M. Theberge, Gregory Dudek
2006· article· en· IEEE Spectrum· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Realistic Reconfiguration of Crystalline (and Telecube) Robots
Greg Aloupis, Sébastien Collette, Mirela Damian, Erik D. Demaine, Dania El-Khechen, Robin Flatland +6 more
2009· book-chapter· en· Springer tracts in advanced robotics· Engineering
machine prediction:candidate · noneconsensus · none
9
citations
fundno affunlabeled
The Bionic Human
2006· book· it· Humana Press eBooks· Engineering
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About