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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
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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.

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 4 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.

affunlabeled
Dynamic SLAM: A Visual SLAM in Outdoor Dynamic Scenes
Shuhuan Wen, X.S. Li, Xin Liu, J.C. Li, Sheng Tao, Yidan Long +1 more
2023· article· en· IEEE Transactions on Instrumentation and Measurement· Engineering
machine prediction:candidate · noneconsensus · none
48
citations
affunlabeled
Nonrigid mammogram registration using mutual information
Michael A. Wirth, Jay Narhan, Derek Gray
2002· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
machine prediction:candidate · noneconsensus · none
43
citations
afffundunlabeled
Deep Active Localization
Sai Krishna Gottipati, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy, Liam Paull
2019· article· en· IEEE Robotics and Automation Letters· Engineering
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Active-vision-based multisensor surveillance - an implementation
Ardevan Bakhtari, Michael D. Naish, Mojtaba Eskandari, Elizabeth A. Croft, B. Benhabib
2006· article· en· IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)· Engineering
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Localization for Autonomous Driving
Ami Woo, Barış Fi̇dan, William Melek
2018· other· en· Engineering
machine prediction:candidate · noneconsensus · none
36
citations

How this was built: Screen · Findings · About