MétaCan
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.

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
Topic Modeling
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.

2,769 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.
2,769 works in the cohort · of 4,299,418page 41 of 56

Labels cover 6 of 2,769 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 2,769 of 2,769 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
A Conditional VAE-Based Conversation Model
Junfan Chen, Richong Zhang, Yongyi Mao, Binfeng Wang, Jianhang Qiao
2019· book-chapter· en· Communications in computer and information science· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
The Paradigm Discovery Problem
Alexander Erdmann, Micha Elsner, Shijie Wu, Ryan Cotterell, Nizar Habash
2020· preprint· en· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
1
citations
affno abstractunlabeled
Modular Length Control for Sentence Generation.
Katya Kudashkina, Péter Wittek, Jamie Kiros, Graham W. Taylor
2020· article· en· The European Symposium on Artificial Neural Networks· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A Question-Answering System on COVID-19 Scientific Literature
Shaina Raza, Brian Schwartz, Nancy Ondrusek
2022· article· en· 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communicationconsensus · none
1
citations
affunlabeled
Adversarial Text Normalization
Joanna Bitton, Maya Pavlova, Ivan Evtimov
2022· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Optimizing Question-Answering Systems Using Genetic Algorithms
Ulysse Côté Allard, Richard Khoury, Luc Lamontagne, Jonathan Bergeron, François Laviolette, Alexandre Bergeron-Guyard
2015· article· en· The Florida AI Research Society· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About