MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Image and Signal Denoising Methods
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
aboutaboutness

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 ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 21 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Wavelet decomposition under translate
Donggao Deng, Daren Huang, Rong-Qing Jia, Wei Lin, Jianzhong Wang
2002· book-chapter· en· AMS/IP studies in advanced mathematics· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
venueno affunlabeled
Median Filter for Denoising MRI
Chalghoumi Sabrine, Abir Smiti
2022· article· fr· Revue d intelligence artificielle· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Wavelet Domain Blur Invariants for 1D Discrete Signals
Iman Makaremi, Karl Leboeuf, Majid Ahmadi
2011· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Multidimensional Wavelets
S. Twareque Ali, Jean-Pierre Antoine, Jean‐Pierre Gazeau
2000· book-chapter· en· Graduate texts in contemporary physics· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Locally time-varying parameter regression
Zhongfang He
2024· article· kn· Econometric Reviews· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
1
citations
affno abstractunlabeled
Exploring Symmetries in Breast MRI Scan
Robert Alterson, Donald B. Plewes
2003· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Deep Belief Networks for Image Denoising.
Mohammad Ali Keyvanrad, Mohammad Pezeshki, Mohammad Mehdi Homayounpour
2013· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Time-frequency decomposition
Matt Hall
2018· article· en· The Leading Edge· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
← previousnext →

How this was built: Screen · Findings · About