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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.

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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.

1,044 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 17 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.

aboutno affno abstractunlabeled
Enhancing Canada’s
2015· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
AMAT: Medial Axis Transform for Natural Images
Stavros Tsogkas, Sven Dickinson
2017· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Index
Heinz‐Bernhard Kraatz, Sanela Martić
2015· paratext· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Searching by Panning and Zooming.
Prosenjit Bose, John Howat, Pat Morin
2014· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Objects, Actions, Places
S.J. McKenna, Jesse Hoey, Emanuele Trucco
2014· article· en· International Journal of Computer Vision· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The UBC semantic robot vision system
Scott Helmer, David Meger, Per-Erik Forssén, Tristram Southey, Sancho McCann, Pooyan Fazli +2 more
2007· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Cover Image, Volume 9, Issue 4
Jessica Robin
2018· paratext· en· Wiley Interdisciplinary Reviews Cognitive Science· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+insufficient_payloadconsensus · sts+open_science+insufficient_payload
0
citations
affunlabeled
Future applications and solutions
M. TAMER ÖZSU, Jean Carrive, S. Gilles, Izabela Grasland, R. Alexander Mohr, Thomas Seidl
2004· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Deep Convolutional Feature Point Descriptors
Edgar Simo‐Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Pascal Fua, Francesc Moreno-Noguer
2015· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations

How this was built: Screen · Findings · About