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
Misinformation and Its Impacts
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.

1,959 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.
1,959 works in the cohort · of 4,299,418page 6 of 40

Labels cover 16 of 1,959 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 1,959 of 1,959 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Studying the COVID-19 infodemic at scale
Anatoliy Gruzd, Manlio De Domenico, Pier Luigi Sacco, Sylvie Briand
2021· article· en· Big Data & Society· Social Sciences
distilled prediction:candidate · stsconsensus · none
38
citations
affunlabeled
When Are Search Completion Suggestions Problematic?
Alexandra Olteanu, Fernando Díaz, Gabriella Kazai
2020· article· en· Proceedings of the ACM on Human-Computer Interaction· Social Sciences
distilled prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Field Experiments on Social Media
Mohsen Mosleh, Gordon Pennycook, David G. Rand
2021· article· en· Current Directions in Psychological Science· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
37
citations
afffundgemma · metaresearchgpt · metaresearchmodels split
Meta-Research: investigating disagreement in the scientific literature
Wout Lamers, Kevin W. Boyack, Vincent Larivière, Cassidy R. Sugimoto, Nees Jan van Eck, Ludo Waltman +1 more
2021· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Social Sciences
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · none
35
citations
aboutno affunlabeled
PHEME dataset of rumours and non-rumours
Arkaitz Zubiaga, Geraldine Wong Sak Hoi, Maria Liakata, Rob Procter
2016· dataset· en· Warwick Research Archive Portal (University of Warwick)· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · none
34
citations
aboutno affunlabeled
The COVID-19 fake news detection in Thai social texts
Pakpoom Mookdarsanit, Lawankorn Mookdarsanit
2021· article· en· Bulletin of Electrical Engineering and Informatics· Social Sciences
distilled prediction:candidate · noneconsensus · none
33
citations
afffundvenueunlabeled
COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis
Emma K Quinn, Shelby Fenton, Chelsea A Ford-Sahibzada, Andrew Harper, Alessandro R Marcon, Timothy Caulfield +2 more
2022· article· en· JMIR Infodemiology· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
33
citations
venueno affunlabeled
User Engagement with Mental Health Videos on YouTube
Tami Oliphant
2013· article· en· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Social Sciences
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
32
citations

How this was built: Screen · Findings · About