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
Milk Quality and Mastitis in Dairy Cows
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.

1,154 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.
1,154 works in the cohort · of 4,299,418page 13 of 24

Labels cover 1 of 1,154 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 1,154 of 1,154 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
Usefulness of differential somatic cell count for udder health monitoring: Diagnostic performance of somatic cell count and differential somatic cell count for diagnosing intramammary infections in dairy herds with automated milking systems
Mariana Fonseca, Daryna Kurban, Jean‐Philippe Roy, D.E. Santschi, Elouise Molgat, Simon Dufour
2024· article· en· Journal of Dairy Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Identification and in silico characterization of structural and functional impacts of genetic variants in milk protein genes in the Zebu breeds Guzerat and Gyr
Carolina Guimarães Ramos Matosinho, Izinara Cruz Rosse, Pablo Augusto de Souza Fonseca, Francislon Silva de Oliveira, Fausto Gonçalves dos Santos, Flávio Marcos Gomes Araújo +11 more
2021· article· en· Tropical Animal Health and Production· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Mastitis in a neonatal filly.
Rebecca Gilday, Danyse Lewis, Katharina L. Lohmann
2015· article· en· PubMed· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Milk and multiple sclerosis: A possible link?
Caleb R. Morin, Maria-Elizabeth Baeva, Morley D. Hollenberg, M. C. Brain
2024· article· en· Multiple Sclerosis and Related Disorders· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affno abstractunlabeled
Optimization of Clinical Mastitis Records on Dairies
John R. Wenz
2018· review· en· Veterinary Clinics of North America Food Animal Practice· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Guide to udder health for dairy goats
Paula Menzies
2018· article· en· American Association of Bovine Practitioners Conference Proceedings· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About