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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.

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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
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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 18 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.

affunlabeled
Organ Recognition Using Gabor Filters
Shiva Zaboli, Arash Tabibiazar, Paul Fieguth
2010· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Editorial: Journal of Classification Vol. 42-2
Paul D. McNicholas
2025· editorial· en· Journal of Classification· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · research_integrity
0
citations
affunlabeled
Computer Vision
John K. Tsotsos
2005· other· en· Encyclopedia of Cognitive Science· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Techniques for Symbol Grounding with SATNet
Sever Topan, David Rolnick, Xujie Si
2021· article· en· Neural Information Processing Systems· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
0
citations
affunlabeled
COMPOSITE ALGORITHMS IN IMAGE CONTENT SEARCHES
Jim Parker, Brad Behm
2007· article· en· International Journal of Software Engineering and Knowledge Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
NPA_ref8095
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
MultiPic: Multilingual Picture Database
Jon Andoni Duñabeitia
2022· dataset· en· Figshare· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Minimal Data Set Definition.
2025· article· Figshare· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Visual Data Mining
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Region-of-Interest Based Image Retrieve
Lei Zhou
2007· article· en· Microcomputer applications· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About