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
Ecology and Vegetation Dynamics Studies
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.

4,502 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.
4,502 works in the cohort · of 4,299,418page 77 of 91

Labels cover 3 of 4,502 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 4,502 of 4,502 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.

venueaboutno affunlabeled
Thematic Collection: Alvars in Canada
Daniel F. Brunton, Paul M. Catling
2017· article· en· The Canadian Field-Naturalist· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Temperate forest ecosystems
Shannon McCarragher, Lesley S. Rigg
2020· other· en· International Encyclopedia of Geography· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Global trade-offs in tree functional traits
Daniel S. Maynard, Lalasia Bialic‐Murphy, Constantin M. Zohner, Colin Averill, Johan van den Hoogen, Haozhi Ma +24 more
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Competition
Paul A. Keddy
2023· book-chapter· en· Wetlands: ecology, conservation and management· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Controlling biases in targeted plant removal experiments
Sylvain Monteux, Gesche Blume‐Werry, Konstantin Gavazov, Leah Kirchhoff, Eveline J. Krab, Signe Lett +2 more
2023· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Diverging sub-fields in functional ecology
Leonardo Viliani, Simona Bonelli, Giorgio Gentile, Enrico Parile, Federico Riva
2024· article· en· Frontiers in Ecology and Evolution· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Global patterns in plant environmental breadths
Marco Barandun, Andrea Paz, Nina van Tiel, Johan van den Hoogen, Loïc Pellissier, Thomas W. Crowther +1 more
2025· article· en· Ecography· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About