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
Agricultural Innovations and Practices
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.

791 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.
791 works in the cohort · of 4,299,418page 9 of 16

Labels cover 3 of 791 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 791 of 791 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.

fundno affunlabeled
Smallholder orange farmer access to markets in Uganda
H. Kongai, Julius Mangisoni, G. Elepu, E. H. C. Chilembwe, Donald Makoka
2020· article· en· African Crop Science Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Two hundred volumes of Agricultural Systems: Common themes and trends
Val Snow, Emma C. Stephens, Guillaume Martin, Mark T. van Wijk, Jagadish Timsina, Pytrik Reidsma +3 more
2022· article· en· Agricultural Systems· Agricultural and Biological Sciences
machine prediction:candidate · bibliometricsconsensus · none
4
citations
affunlabeled
Livelihood and vulnerability analysis
Charlie M. Shackleton, Kate Schreckenberg, Sheona Shackleton, Marty Luckert
2021· book-chapter· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Effects of changing farming practices in African agriculture
Todd S. Rosenstock, Peter Steward, Namita Joshi, Christine Lamanna, Nictor Namoi, Lolita Muller +21 more
2024· article· en· Scientific Data· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Collaboration and optimization in farmland exchanges
Mikael Rönnqvist, Mikael Frisk, Patrik Flisberg, Justin Casimir, Jonas Engström, Erik Hansson +1 more
2022· article· en· International Transactions in Operational Research· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About