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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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Robotics and Sensor-Based Localization
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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
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,640 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.
1,640 works in the cohort · of 4,299,418page 3 of 33

Labels cover 0 of 1,640 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 1,640 of 1,640 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.

fundaboutno affunlabeled
The Devon Island rover navigation dataset
Paul Furgale, Pat Carle, John Enright, Timothy D. Barfoot
2012· article· en· The International Journal of Robotics Research· Engineering
machine prediction:candidate · noneconsensus · none
64
citations
afffundunlabeled
Automated Bridge Inspection Using Mobile Ground Robotics
Nicholas E. Charron, Evan McLaughlin, Stephen Phillips, Kevin Goorts, Sriram Narasimhan, Steven L. Waslander
2019· article· en· Journal of Structural Engineering· Engineering
machine prediction:candidate · noneconsensus · none
56
citations
affunlabeled
Polarimetric Dense Monocular SLAM
Luwei Yang, Feitong Tan, Ao Li, Zhaopeng Cui, Yasutaka Furukawa, Ping Tan
2018· article· en· Engineering
machine prediction:candidate · noneconsensus · none
54
citations
affaboutunlabeled
The Canadian planetary emulation terrain 3D mapping dataset
Chi Hay Tong, David Gingras, Kevin Larose, Timothy D. Barfoot, Érick Dupuis
2013· article· en· The International Journal of Robotics Research· Engineering
machine prediction:candidate · noneconsensus · none
54
citations
affunlabeled
Neural LiDAR Fields for Novel View Synthesis
Shengyu Huang, Žan Gojčič, Zian Wang, FRANCIS H. WILLIAMS, Yoni Kasten, Sanja Fidler +2 more
2023· article· en· Engineering
machine prediction:candidate · noneconsensus · none
53
citations
affno abstractunlabeled
Semantic visual SLAM in dynamic environment
Shuhuan Wen, Pengjiang Li, Yongjie Zhao, Hong Zhang, Fuchun Sun, Zhe Wang
2021· article· en· Autonomous Robots· Engineering
machine prediction:candidate · noneconsensus · none
53
citations

How this was built: Screen · Findings · About