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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.

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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 1 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
Image‐based 3D Modelling: A Review
Fabio Remondino, Sabry F. El-Hakim
2006· review· en· The Photogrammetric Record· Engineering
machine prediction:candidate · noneconsensus · none
1,004
citations
affunlabeled
State Estimation for Robotics
Timothy D. Barfoot
2017· book· en· Cambridge University Press eBooks· Engineering
machine prediction:candidate · noneconsensus · none
735
citations
affunlabeled
The bubble cursor
Tovi Grossman, Ravin Balakrishnan
2005· article· en· Engineering
machine prediction:candidate · noneconsensus · none
589
citations
afffundunlabeled
Revisiting active perception
Růžena Bajcsy, Yiannis Aloimonos, John K. Tsotsos
2017· article· en· Autonomous Robots· Engineering
machine prediction:candidate · noneconsensus · none
310
citations
affunlabeled
Designing Highly Reliable Fiducial Markers
Mark A. Fiala
2009· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
226
citations
affunlabeled
GlobFit
Yangyan Li, Xiaokun Wu, Yiorgos Chrysathou, Andrei Sharf, Daniel Cohen‐Or, Niloy J. Mitra
2011· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
166
citations
affno abstractunlabeled
Multi-robot collaboration for robust exploration
Ioannis Rekleitis, Gregory Dudek, Evangelos Milios
2001· article· en· Annals of Mathematics and Artificial Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
162
citations
affunlabeled
State Estimation for Robotics
Timothy D. Barfoot
2024· book· en· Cambridge University Press eBooks· Engineering
machine prediction:candidate · noneconsensus · none
141
citations
affno abstractunlabeled
Modeling Coverage in Camera Networks: A Survey
Aaron Mavrinac, Xiang Chen
2012· article· en· International Journal of Computer Vision· Engineering
machine prediction:candidate · noneconsensus · none
138
citations
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