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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 24 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Robust Fundamental Matrix Determination without Correspondences
Stefan Lehmann, I. Vaughan L. Clarkson, Andrew P. Bradley, John Williams, Peter J. Kootsookos
2005· article· en· Journal of Animal Physiology and Animal Nutrition· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
DynamicaLab/data-dynalearn
2021· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Rendering in shift-invariant spaces
Usman Alim
2013· article· en· Graphics Interface· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
afffundvenueunlabeled
Motion Detection in High Resolution Enhancement
Xiaodan Hu, Avery Ma, Ahmed Gawish, Mark Lamm, Paul Fieguth
2017· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Depth Perspective-Aware Multiple Object Tracking
Kha Gia Quach, Huu Le, Pha Nguyen, Chi Nhan Duong, Tien D. Bui, Khoa Luu
2023· preprint· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
1
citations
affunlabeled
A neural implementation for interpolation of stereo data
Ram Srinivasan, M. Shridhar, Majid Ahmadi
2003· article· en· International Conference on Acoustics, Speech, and Signal Processing· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
BOUNDARY DEPTH INFORMATION USING HOPFIELD NEURAL NETWORK
Sheng Xu, Ruisheng Wang
2016· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communicationconsensus · none
1
citations
affunlabeled
Visualizing Objects with Mirrors
F. Hurtado, Marc Noy, Jean–Marc Robert, Vera Sacristán, Steven Skiena
2004· article· en· Computer Graphics Forum· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About