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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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Image Retrieval and Classification 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
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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.

1,015 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.
1,015 works in the cohort · of 4,299,418page 14 of 21

Labels cover 2 of 1,015 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 1,015 of 1,015 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Constructing click models for search users
Yiqun Liu, Jian‐Yun Nie, Yi Chang
2017· article· en· Information Retrieval· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
2
citations
affunlabeled
Texture map
Tao Xu, Iker Gondra
2009· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Dynamic navigation into 3D media spaces
Claude St-Jacques, Louis-Claude Paquin, Marie‐Claude Lavallée
2004· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
afffundno abstractunlabeled
Fast shape retrieval using a graph theoretic approach
Chunyuan Li, A. Ben Hamza
2012· article· en· International Journal of Multimedia Information Retrieval· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Une méthode de binarisation hiérarchique floue
Salvatore Tabbone, Thi Oanh Nguyen, Gérald Masini
2006· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
1
citations
affaboutunlabeled
Introduction
Diane Rasmussen Pennington
2009· article· en· Bulletin of the American Society for Information Science and Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Shape modeling with spline partitions
Shufei Ge, Shijia Wang, Lloyd T. Elliott
2022· article· en· Statistics and Computing· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
TIIARA: A Language Tool for Bridging the Language Gap
Nouf Khashman, Élaine Ménard, Jonathan Dorey
2016· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About