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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 and Signal Denoising Methods
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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.

1,335 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.
1,335 works in the cohort · of 4,299,418page 26 of 27

Labels cover 0 of 1,335 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 1,335 of 1,335 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.

affno abstractunlabeled
Some Wavelet Transforms
Peter Zizler, Roberta La Haye
2024· book-chapter· en· Compact textbooks in mathematics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Locally adaptive space variant restoration of CT images
S Rathee, Z.J. Koles, T.R. Overton
2002· article· en· Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Image Denoising Using Neighbor and Level Dependency
Dongwook Cho, Tien D. Bui, Guangyi Chen
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Comparison of De-Noising Algorithms Technique
Ogunsanwo Gbenga Oyewole, Goga Nicholas, Oludele Awodele, O Onidare Samuel
2018· article· en· Network and Communication Technologies· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Approximation of Periodic Functions by Wavelet Fourier Series
Varsha Karanjgaokar, Snehal Rahatgaonkar, Laxmi Rathour, Lakshmi Narayan Mishra, Vishnu Narayan Mishra
2024· article· en· International Journal of Analysis and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Enhanced denoising scheme for NMR signals
Osama A. Ahmed
2002· article· en· IEEE International Conference on Acoustics Speech and Signal Processing· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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