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
Smart Agricultural Technology
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.

57 results · 1 filter active ·
Results by year
20212025
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.
57 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 57 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 57 of 57 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
AI-powered cow detection in complex farm environments
Voncarlos M. Araújo, Ines Rili, Thomas Gisiger, Sébastien Gambs, E. Vasseur, Marjorie Cellier +1 more
2025· preprint· en· Smart Agricultural Technology· Veterinary
distilled prediction:candidate · metaepi_narrowconsensus · none
17
citations
afffundunlabeled
Harnessing machine learning for grain mycotoxin detection
Rakiba Rayhana, Jatinder S. Sangha, Yuefeng Ruan, Zheng Liu
2025· article· en· Smart Agricultural Technology· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
Scoping review of precision technologies for cattle monitoring
Brendon C. Besler, Pedram Mojabi, Zahra Lasemiimeni, James E. Murphy, Zefang Wang, Elise Fear
2024· article· en· Smart Agricultural Technology· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Pseudo-label semi-supervised learning for soybean monitoring
Gabriel Kirsten Menezes, Gilberto Astolfi, José Augusto Correa Martins, Everton Castel�ão Tetila, Adair da Silva Oliveira, Diogo Nunes Gonçalves +5 more
2023· article· en· Smart Agricultural Technology· Engineering
distilled prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About