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
Cytometry Part B Clinical Cytometry
Topic
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.

98 results · 1 filter active ·
Results by year
20032025
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.
98 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 98 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 98 of 98 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
Flow cytometric method transfer: Recommendations for best practice
Maciej Cabanski, Teri Oldaker, Jennifer J. Stewart, Nithianandan Selliah, Steve Eck, Cherie Green +2 more
2020· article· en· Cytometry Part B Clinical Cytometry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
13
citations
affunlabeled
Diagnostics in the shadow of HIV epidemics
George Janossy, Frank Mandy, Maurice R.G. O’Gorman
2008· article· en· Cytometry Part B Clinical Cytometry· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
A combined HIV‐1 protein bead array for serology assay and T‐cell subset immunophenotyping with a hybrid flow cytometer: A step in the direction of a comprehensive multitasking instrument platform for infectious disease diagnosis and monitoring
Sylvie Faucher, Alexandre Martel, Alice Sherring, Dragica Bogdanovic, L Malloch, John E. Kim +3 more
2006· article· en· Cytometry Part B Clinical Cytometry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
Issue Highlights—September 2012
Francis Mandy
2012· article· en· Cytometry Part B Clinical Cytometry· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Highlights March 2025
Marie C. Béné
2025· article· en· Cytometry Part B Clinical Cytometry· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Erratum
Francis Mandy
2008· erratum· en· Cytometry Part B Clinical Cytometry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Issue Highlights—January 2022
Frank Mandy
2022· article· en· Cytometry Part B Clinical Cytometry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About