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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 17 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
UAV Pose Estimation using POSIT Algorithm
Mingyi He, Chayatat Ratanasawanya, Mehran Mehrandezh, Raman Paranjape
2011· article· en· International Journal of Digital Content Technology and its Applications· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Performance Evaluation of 3D Keypoints and Descriptors
Zizui CHEN, Stephen Czarnuch, Andrew Smith, Mohamed Shehata
2016· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
IR depth from stereo for autonomous navigation
John Zelek, Marc Holbein, Kiana Hajebi, Daniel Asmar, David Cheng
2005· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Truncated octree and its applications
Naimin Koh, Pradeep Kumar Jayaraman, Jianmin Zheng
2021· article· en· The Visual Computer· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
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How this was built: Screen · Findings · About