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
Global Energy and Sustainability Research
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.

2,056 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.
2,056 works in the cohort · of 4,299,418page 4 of 42

Labels cover 5 of 2,056 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 2,056 of 2,056 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.

fundno affunlabeled
Energy Systems and Environment
Pavel Tsvetkov
2018· book· en· InTech eBooks· Energy
machine prediction:candidate · noneconsensus · none
21
citations
aboutno affunlabeled
Smart Generation : powering Ontario with renewable energy
José Etcheverry, P. Gipe, William H. Kemp, Roeland Samson, Martijn Vis, Bill Eggertson +3 more
2004· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Energy
machine prediction:candidate · noneconsensus · none
21
citations
affaboutno abstractunlabeled
Energy Developments in Canada's Oil Sands
G. Stringham
2012· book-chapter· en· Developments in environmental science· Energy
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Peak Oil as a Behavioral Problem
Lyle K. Grant
2007· article· en· Behavior and Social Issues· Energy
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
The Car and the City
David W. Purcell
2000· article· en· Bulletin of Science Technology & Society· Energy
machine prediction:candidate · noneconsensus · none
18
citations
aboutno affno abstractunlabeled
The canadian oil boom: scraping bottom
Robert Kunzig
2009· article· en· National geographic/˜The œcomplete National geographic/˜The œNational geographic magazine· Energy
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Air and Water Pollution
N.D. Kaushika, K.S. Reddy, Kshitij Kaushik
2016· book-chapter· en· Energy
machine prediction:candidate · noneconsensus · none
17
citations

How this was built: Screen · Findings · About