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
Proceedings of the Karelian Research Centre of the Russian Academy of Sciences
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.

7 results · 1 filter active ·
Results by year
20092025
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.
7 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 7 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 7 of 7 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundno affunlabeled
Algal Extracts as Plant Growth Biostimulants
Татьяна Геннадиевна Шибаева, Е. Г. Шерудило, А. Ф. Титов, Tatyana Shibaeva
2021· article· en· Proceedings of the Karelian Research Centre of the Russian Academy of Sciences· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
MORPHOMETRIC PARAMETERS OF ERYTHROCYTES IN SEVERAL RODENTIA SPECIES
А. Г. Кижина, С. Н. Сергина, Людмила Борисовна Узенбаева, Виктор Александрович Илюха, Elvira Pechorina, Е. П. Антонова +5 more
2019· article· en· Proceedings of the Karelian Research Centre of the Russian Academy of Sciences· Environmental Science
distilled prediction:candidate · stsconsensus · none
1
citations
aboutno affunlabeled
EXPERIENCE OF USING THE FEED ADDITIVE “FLAVOMYCIN 80” IN GROWING RAINBOW TROUT IN A RECYCLING WATER SYSTEM (RVC)
S. V. Matrosova, Н А Сидорова, Тамара Юрьевна Кучко, I. V. Kamenev, Георгий Дмитриевич Преображенский, Евгения Валерьевна Празднова +5 more
2023· article· en· Proceedings of the Karelian Research Centre of the Russian Academy of Sciences· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Prospects for using bacteriocins in aquaculture
Ирина Васильевна Ткачева, Юрий Борисович Коханов, Надежда Дмитриевна Недина, Irina Tkacheva, Yuri Kokhanov, N.D. Nedina
2025· article· Proceedings of the Karelian Research Centre of the Russian Academy of Sciences· Immunology and Microbiology
distilled prediction:candidate · stsconsensus · none
0
citations

How this was built: Screen · Findings · About