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
Long-Term Effects of COVID-19
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.

1,934 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.
1,934 works in the cohort · of 4,299,418page 1 of 39

Labels cover 12 of 1,934 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 1,934 of 1,934 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.

affunlabeled
Protected Code Stroke
Houman Khosravani, Phavalan Rajendram, Lowyl Notario, Martin Chapman, Bijoy K. Menon
2020· article· en· Stroke· Medicine
machine prediction:candidate · noneconsensus · none
243
citations
affunlabeled
Mechanisms of Stroke in COVID-19
J. David Spence, Gabriel R. de Freitas, L. Creed Pettigrew, Hakan Ay, David S. Liebeskind, Carlos S. Kase +3 more
2020· review· en· Cerebrovascular Diseases· Medicine
machine prediction:candidate · noneconsensus · none
241
citations
affno abstractunlabeled
Utility of hyposmia and hypogeusia for the diagnosis of COVID-19
François Bénézit, Paul Le Turnier, Charles Declerck, Cécile Paillé, Matthieu Revest, Vincent Dubée +30 more
2020· letter· en· The Lancet Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
236
citations
venueno affunlabeled
Neurological and Neuropsychiatric Impacts of COVID-19 Pandemic
Devlina Roy, Ritwik Ghosh, Souvik Dubey, Mahua Jana Dubey, Julián Benito‐León, Biman Kanti Ray
2020· review· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
226
citations
afffundno abstractunlabeled
Does the pathogenesis of SARS-CoV-2 virus decrease at high-altitude?
Christian Arias‐Reyes, Natalia Zubieta-DeUrioste, Liliana Poma-Machicao, Fernanda Aliaga‐Raduán, Favio Carvajal-Rodriguez, Mathias Dutschmann +3 more
2020· article· en· Respiratory Physiology & Neurobiology· Medicine
machine prediction:candidate · noneconsensus · none
220
citations
affno abstractunlabeled
Peripheral Nervous System Manifestations Associated with COVID-19
Sasan Andalib, José Biller, Mario Di Napoli, Narges Moghimi, Louise D. McCullough, Clio Rubiños +9 more
2021· review· en· Current Neurology and Neuroscience Reports· Medicine
machine prediction:candidate · noneconsensus · none
195
citations
next →

How this was built: Screen · Findings · About