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
Topic
Leaf Properties and Growth Measurement
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.

325 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.
325 works in the cohort · of 4,299,418page 1 of 7

Labels cover 1 of 325 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 325 of 325 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Global climatic drivers of leaf size
Ian J. Wright, Ning Dong, Vincent Maire, I. Colin Prentice, Mark Westoby, Sandra Dı́az +11 more
2017· article· en· Science· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
997
citations
affno abstractunlabeled
On the use of depth camera for 3D phenotyping of entire plants
Yann Chéné, David Rousseau, Philippe Lucidarme, Jessica Bertheloot, Valérie Caffier, Philippe Morel +2 more
2012· article· en· Computers and Electronics in Agriculture· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
286
citations
affunlabeled
Leaf nitrogen from the perspective of optimal plant function
Ning Dong, I. Colin Prentice, Ian J. Wright, Han Wang, Owen K. Atkin, Keith J. Bloomfield +6 more
2022· article· en· Journal of Ecology· Agricultural and Biological Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
52
citations
afffundunlabeled
An Egg Volume Measurement System Based on the Microsoft Kinect
Ting On Chan, Derek D. Lichti, Adam Jahraus, Hooman Esfandiari, Hervé Lahamy, Jeremy Steward +1 more
2018· article· en· Sensors· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Vegetation Indices for Predicting the Growth and Harvest Rate of Lettuce
Ana Luisa Alves Ribeiro, Gabriel Mascarenhas Maciel, Ana Carolina Silva Siquieroli, José Magno Queiróz Luz, Rodrigo Bezerra de Araújo Gallis, Pablo Henrique de Souza Assis +2 more
2023· article· en· Agriculture· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
26
citations
next →

How this was built: Screen · Findings · About