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
Vasculitis and related conditions
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.

1,620 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.
1,620 works in the cohort · of 4,299,418page 11 of 33

Labels cover 2 of 1,620 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 1,620 of 1,620 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.

affno abstractunlabeled
Tandem hemodialysis and plasma exchange
Guido Filler, William F. Clark, Shih‐Han S. Huang
2013· review· en· Pediatric Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Childhood Cerebral Vasculitis
Neetika Gupta, Shivaprakash B. Hiremath, Richard I. Aviv, Nagwa Wilson
2022· review· en· Clinical Neuroradiology· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
aboutno affunlabeled
ANCA-Associated Vasculitis in Latin America
Víctor R. Pimentel-Quiroz, Sebastian E. Sattui, Manuel F. Ugarte‐Gil, Graciela S. Alarcón
2021· review· en· JCR Journal of Clinical Rheumatology· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
venueno affunlabeled
Wegener's granulomatosis
M Haris, Anastasios Koulaouzidis, Muhammad Yasir, Stephen Clark, M. Kaleem, R K Mallya
2007· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
venueno affunlabeled
Myocardial Perfusion Imaging in Takayasu Arteritis
Cloé Comarmond, Odile Dessault, Jean‐Yves Devaux, N. Costedoat‐Chalumeau, Matthieu Resche‐Rigon, Richard Isnard +3 more
2013· article· en· The Journal of Rheumatology· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
affaboutunlabeled
Impact of vasculitis on employment and income.
Lillian Barra, Renée Borchin, Cristina Burroughs, George Casey, Carol A. McAlear, Antoine G. Sreih +3 more
2018· article· en· PubMed· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
affvenueno abstractunlabeled
Clinical predictors of positive temporal artery biopsy
Andrew Toren, Ezekiel Weis, Vivek Patel, Bethany Monteith, Steven Gilberg, David R. Jordan
2016· article· en· Canadian Journal of Ophthalmology· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Sudden death due to polyarteritis nodosa
Lisa B. E. Shields, Meredith Burge, John C. Hunsaker
2011· article· en· Forensic Science Medicine and Pathology· Medicine
machine prediction:candidate · noneconsensus · none
16
citations

How this was built: Screen · Findings · About