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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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Advanced Vision and Imaging
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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.

1,705 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.
1,705 works in the cohort · of 4,299,418page 27 of 35

Labels cover 1 of 1,705 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 1,705 of 1,705 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
UBC ScanCam: an inexpensive 122-million pixel scan camera
Shuzhen Wang, Wolfgang Heidrich
2004· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Non-pixel Robot Stereo
Tyler C. Folsom
2007· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
A Global-Matching Framework for Multi-View Stereopsis
Wendong Mao, Minglun Gong, Xin Huang, Hao Cai, Zili Yi
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Medial Models for Vision
Kaleem Siddiqi, Stephen M. Pizer
2009· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Tracking the Pose of Objects through Subspace
Simon Léonard, Martin Jägersand
2003· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Hybrid video using motion estimation
J. Baldwin, Anup Basu, H. Zhang
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Streaming LiDAR Scene Flow Estimation
Mazen Abdelfattah, Z. Jane Wang, Rabab Ward
2025· article· en· IEEE Open Journal of Signal Processing· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Similarity-based Data Partitioning
Ling Liu, M. TAMER ÖZSU
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

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