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
Social Media in Health Education
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.

2,014 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.
2,014 works in the cohort · of 4,299,418page 3 of 41

Labels cover 32 of 2,014 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 2,014 of 2,014 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Health Researchers’ Use of Social Media: Scoping Review
Justine Dol, Perri R. Tutelman, Christine T. Chambers, Melanie Barwick, Emily K. Drake, Jennifer A. Parker +4 more
2019· article· en· Journal of Medical Internet Research· Social Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · metaresearch
85
citations
affno abstractunlabeled
The Current Use of Social Media in Neurosurgery
Naif M. Alotaibi, Jetan H. Badhiwala, Farshad Nassiri, Daipayan Guha, George M. Ibrahim, Mohammed F. Shamji +1 more
2015· article· en· World Neurosurgery· Social Sciences
distilled prediction:candidate · metaresearchconsensus · none
82
citations
affunlabeled
Movement Disorders on YouTube — Caveat Spectator
María Stamelou, Mark J. Edwards, Alberto J. Espay, Victor S.C. Fung, Mark Hallett, Anthony E. Lang +2 more
2011· letter· en· New England Journal of Medicine· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
78
citations
affno abstractunlabeled
Pharmacy 2.0: A scoping review of social media use in pharmacy
Kelly Grindrod, Andrea Forgione, Ross T. Tsuyuki, Scott Gavura, Dean Giustini
2013· review· en· Research in Social and Administrative Pharmacy· Social Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · none
73
citations
venueno affunlabeled
Doctors among early adopters of Google Glass
Wendy Glauser
2013· article· en· Canadian Medical Association Journal· Social Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
70
citations
affunlabeled
Are virtual communities good for our health?
Alejandro R. Jadad, Murray Enkin, Sholom Glouberman, Philip Groff, Anita Stern
2006· letter· en· BMJ· Social Sciences
distilled prediction:candidate · noneconsensus · none
68
citations
affvenueaboutunlabeled
Advancing social media in medical education
Wendy Davis, Kendall Ho, Jason Last
2015· article· en· Canadian Medical Association Journal· Social Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
66
citations

How this was built: Screen · Findings · About