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
Neural Networks and Applications
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.

2,372 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.
2,372 works in the cohort · of 4,299,418page 34 of 48

Labels cover 1 of 2,372 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 2,372 of 2,372 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.

aboutno affunlabeled
ivado-medical-imaging
2019· article· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
How Chaotic Are Recurrent Neural Networks
Pourya Vakilipourtakalou, Lili Mou
2020· article· en· International Conference on Learning Representations· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
SomaticSiMu Provided Datasets
David Chen
2021· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Strong Memory Consistency
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Three-dimensional networks
David H. Boal
2001· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Chapter 6: Autoencoder Neural Networks
2024· book-chapter· en· Society for Industrial and Applied Mathematics eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Emina Soljanin, Stark C. Draper, Aaron B. Wagner, Alexander Barg, Hans‐Andrea Loeliger, Tom Richardson +68 more
2019· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory Publication Information
Christina Fragouli, Parastoo Sadeghi, Edmund Yeh, Muriel Édard, P Kumar, Matthieu R. Bloch +3 more
2022· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Elza Erkip, Stark C. Draper, Aaron B. Wagner, Alexander Barg, Frank R. Kschischang, Hans‐Andrea Loeliger +56 more
2018· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Gerhard Kramer, Edmund Yeh, Aylin Yener, Ioannis Kontoyiannis, Elza Erkip, Abbas El Gamal +46 more
2013· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Emina Soljanin, Stark C. Draper, Aaron B. Wagner, Alexander Barg, Hans‐Andrea Loeliger, Tom Richardson +54 more
2019· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Christina Fragouli, Parastoo Sadeghi, Edmund Yeh, Muriel Édard, P. Praveen Kumar, Matthieu R. Bloch +1 more
2022· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · bibliometricsconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Emina Soljanin, Stark C. Draper, Aaron B. Wagner, Alexander Barg, Hans‐Andrea Loeliger, Tom Richardson +68 more
2019· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Stark C. Draper, Daniela Tuninetti, Prakash Narayan, Elza Erkip, Alexander Barg, Hans‐Andrea Loeliger +65 more
2017· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Christina Fragouli, Parastoo Sadeghi, Edmund Yeh, Muriel Édard, P. Praveen Kumar, Matthieu R. Bloch +1 more
2022· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Elza Erkip, Stark C. Draper, Aaron B. Wagner, Alexander Barg, Frank R. Kschischang, Hans‐Andrea Loeliger +56 more
2018· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Christina Fragouli, Parastoo Sadeghi, Edmund Yeh, Muriel Édard, P. Praveen Kumar, Matthieu R. Bloch +1 more
2022· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Christina Fragouli, Parastoo Sadeghi, Edmund Yeh, Muriel Édard, P. Praveen Kumar, Matthieu R. Bloch +3 more
2022· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Christina Fragouli, Parastoo Sadeghi, Edmund Yeh, Muriel Édard, P Kumar, Matthieu R. Bloch +3 more
2022· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
IEEE Transactions on Information Theory publication information
Christina Fragouli, Parastoo Sadeghi, Edmund Yeh, Muriel Édard, P Kumar, Matthieu R. Bloch +3 more
2022· article· en· IEEE Transactions on Information Theory· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About