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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.

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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 12 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
Stacked Autoencoders for Medical Image Search
Swati Sharma, Ibrahim Khalil Umar, L. Ospina, David Wong, Hamid R. Tizhoosh
2016· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Improving Image Retrieval by Clustering
Dany Gebara, Reda Alhajj
2009· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affno abstractunlabeled
Color Content Matching of MPEG-4 Video Objects
Berna Erol, F. Kossentini
2001· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affno abstractunlabeled
Semantic Learning for Image Compression (SLIC)
Kushal Mahalingaiah, Harsh Sharma, Priyanka Kaplish, Irene Cheng
2020· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
Image spam — ASCII to the rescue!
Jordan Nielson, John Aycock, Daniel Medeiros Nunes de Castro
2008· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
Modeling of 2D Parts Applied to Database Query
Guillaume-Alexandre Bilodeau, Robert Bergevin
2000· article· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
Radon-Gabor Barcodes for Medical Image Retrieval
Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali, James Tung
2016· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
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