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
Reproductive tract infections research
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.

1,910 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.
1,910 works in the cohort · of 4,299,418page 21 of 39

Labels cover 3 of 1,910 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 1,910 of 1,910 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.

affaboutunlabeled
Reply to Hagdu and to Moss et al.
Robert C. Brunham, Babak Pourbohloul, Sunny Mak, Rick White, Michael L. Rekart
2006· article· en· The Journal of Infectious Diseases· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Sexually Transmitted Infections & the Heart
Kiera Liblik, Jeffrey Lam, Alex Pham, Jin Byun, Juan Farina, Adrián Baranchuk
2023· review· en· Current Problems in Cardiology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Lymphogranuloma venereum serovar L2b in Portugal
R. Castro, Teresa Baptista, Ana C. Vale, H Nunes, E. Prieto, Carlos Araújo +2 more
2010· article· en· International Journal of STD & AIDS· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
9
citations
afffundvenueaboutunlabeled
Risk Prediction in Sexual Health Contexts: Protocol
Titilola Falasinnu, Paul Gustafson, Mark Gilbert, Jean Shoveller
2013· article· en· JMIR Research Protocols· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Characterizing trachoma elimination using serology
Everlyn Kamau, Pearl Anne Ante-Testard, Sarah Gwyn, Seth Blumberg, Zeinab Abdalla, Kristen Aiemjoy +61 more
2024· preprint· en· medRxiv· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Fitz-Hugh–Curtis Syndrome in Adolescent Females
Hnin Khine, Sarah B. Wren, O. Rotenberg, David L. Goldman
2018· article· en· Pediatric Emergency Care· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About