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
Conservation, Biodiversity, and Resource Management
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.

1,802 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.
1,802 works in the cohort · of 4,299,418page 32 of 37

Labels cover 1 of 1,802 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 1,802 of 1,802 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.

aboutno affunlabeled
Forêts communautaires : social engine
Rédacteur de la revue Bois et Forêts des Tropiques
2006· article· BOIS & FORETS DES TROPIQUES· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Editorial
Steve Plante, Hervé Flanquart
2011· editorial· fr· Territoire en mouvement· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Protected Planet Report 2024
Emily Howland, Heather Bingham, Kelly Malsch, Matt Kaplan, Neil David Burgess, Marine Deguignet +5 more
2024· book· en· Research at the University of Copenhagen (University of Copenhagen)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Book Review Forum: Landscape Citizenships
Laura Menatti, Emma Waterton, Michael Lechuga, Sarah De Nardi, Thaïsa Way, Tim Waterman +2 more
2025· article· en· Landscape Research· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Editorial: Forest assisted migration
Paula E. Marquardt, Brian J. Palik, Philippe Nolet, Alison D. Munson
2025· editorial· en· Frontiers in Forests and Global Change· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial: Advances in privately protected areas
James Fitzsimons, Sue Stolton, Miquel Rafa
2024· editorial· en· Frontiers in Conservation Science· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Embracing global biodiversity toward a better planet
Haigen Xu, Richard D. Gregory, Yun Cao, Riquan Zhang, Lirong Zhang, Michael Gill +4 more
2025· article· en· Eco-Environment & Health· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
National Park and Ecosystem Integrity
Nuo Xu, Wanli Wu, Guangyu Wang
2020· book-chapter· en· Encyclopedia of the UN sustainable development goals· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About