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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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Digital Image Processing 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.

246 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.
246 works in the cohort · of 4,299,418page 3 of 5

Labels cover 0 of 246 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 246 of 246 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Cone-Traced Supersampling With Subpixel Edge Reconstruction
Andrei Chubarau, Yangyang Zhao, Ruby Rao, Derek Nowrouzezahrai, Paul G. Kry
2023· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Undercover Boolean Matrix Factorization with MaxSAT
Florent Avellaneda, Roger Villemaire
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Gray-Scale Thinning Algorithm Using Local Min/Max Operations
Kyoung Min Kim, Buhm Lee, Nam Sup Choi, Gwan Hee Kang, Joong Jo Park, Ching Y. Suen
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Graph Reconstruction by Permutations.
Pierre Ille, William L. Kocay
2008· article· en· Ars Combinatoria· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Potentially K 1, 1, t -graphic sequences.
Jian-Hua Yin, Jiong-Sheng Li, Wen-Ya Li
2012· article· en· Ars Combinatoria· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
On Sets of Orthogonal d-Cubes.
Zoran Stojaković, Mila Stojaković
2008· article· en· Ars Combinatoria· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Optimal algorithms and proofs (Dagstuhl Seminar 14421)
Olaf Beyersdorff, Edward Hirsch, Jan Krajı́ček, Rahul Santhanam
2015· article· en· DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
On Minimal Moment of Inertia Polyominoes
Srečko Brlek, Gilbert Labelle, Annie Lacasse
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
An Extension of Craig's Family of Lattices
André Luiz Flores, J. Carmelo Interlando, Trajano Pires da Nóbrega Neto
2011· article· en· Canadian Mathematical Bulletin· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
On Potentially C 2, 6 -graphic Sequences.
Haiyan Li, Chunhui Lai
2015· article· en· Ars Combinatoria· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About