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
The Forestry Chronicle
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.

1,689 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.
1,689 works in the cohort · of 4,299,418page 33 of 34

Labels cover 0 of 1,689 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 1,689 of 1,689 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.

venueno affno abstractunlabeled
University News/Nouvelles des Universités
2000· article· fr· The Forestry Chronicle· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Technical Writing for Forestry Professionals
MorriceEd
2018· article· en· The Forestry Chronicle· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Editorial / Éditorial
2006· article· fr· The Forestry Chronicle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Section News / Nouvelles des sections
2010· article· fr· The Forestry Chronicle· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Robert John Day
2016· article· en· The Forestry Chronicle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Obituaries/Nécrologie
2000· article· fr· The Forestry Chronicle· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Section News / Nouvelles des sections
2009· article· fr· The Forestry Chronicle· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Book Announcements / Publications récentes
Ajith H. Perera, Lisa J. Buse, Michael Weber
2004· article· fr· The Forestry Chronicle· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundvenueno affno abstractunlabeled
The Russian forest sector: Sun and shadows
Charles A. Backman
2000· article· en· The Forestry Chronicle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Personals / Carrière et emploi
2005· article· fr· The Forestry Chronicle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Book Reviews / Revue de livres
2007· article· fr· The Forestry Chronicle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Book Announcements / Publications récentes
2005· article· fr· The Forestry Chronicle· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Tributes / Hommages
2009· article· it· The Forestry Chronicle· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Forest Policy Issues Forum
2004· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
ection News / Nouvelles des sections
2007· article· fr· The Forestry Chronicle· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Rapports de la directrice exécutive
2000· article· fr· The Forestry Chronicle· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affno abstractunlabeled
Canadian Forestry Accreditation Board / Bureau Canadien d'agré en foresterie: Legislation Aims to Protect Ontario's Environment: Découverte d'un gène de résistance à la tordeuse des bourgeons de l'épinette: BC Aboriginal Business Wins Forest Products Award: FPAC Skills Award for Aboriginal Youth: Scientists Work to Bring Back the American Chestnut: Biomass for the Masses: U.S. Forest Service Exceeds Yearly Forest Restoration Goals: Taking the brakes off forest farm development in Kenya: Bolivia's Indigenous Peoples Drive Forest Farm Innovation: Millions Benefit from Mangroves-Associated Fisheries
2015· article· en· The Forestry Chronicle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Associate Editors/Corédacteurs
2020· article· fr· The Forestry Chronicle· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
PERSPECTIVE
2003· article· en· The Forestry Chronicle
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
Model Forest News
2004· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About