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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 Image and Video Retrieval Techniques
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,044 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.
1,044 works in the cohort · of 4,299,418page 20 of 21

Labels cover 2 of 1,044 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 1,044 of 1,044 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affvenueunlabeled
To the stars?
2018· article· en· NPARC· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Hierarchical Implicit Shape Modeling
Parvin Razzaghi, Shadrokh Samavi
2014· article· en· Journal of Visual Communication and Image Representation· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Open cross-domain visual search
William Thong, Pascal Mettes, Cees G. M. Snoek
2020· preprint· en· Computer Vision and Image Understanding· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · none
0
citations
afffundaboutunlabeled
The McGill Object Detection Suite
Donovan H. Parks, Martin D. Levine
2006· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
BarkNet 1.0 (Part 3 of 4)
Philippe Giguère
2019· article· en· Data Archiving and Networked Services (DANS)· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2022· dataset· en· Global Biodiversity Information Facility· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2020· dataset· en· Global Biodiversity Information Facility· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Features for visual object recognition.
Martin Arguin, Marie-Audrey Lavoie, Mélanie Lévesque, Gabriela Milanova, Pénélope Pelland-Goulet, Marc-Antoine Akzam-Ouellette +1 more
2024· article· en· Journal of Vision· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· Global Biodiversity Information Facility· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· Global Biodiversity Information Facility· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50ac1.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About