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
Atmospheric and Environmental Gas Dynamics
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.

5,307 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.
5,307 works in the cohort · of 4,299,418page 46 of 107

Labels cover 5 of 5,307 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 5,307 of 5,307 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
Energy crisis postponed?
R. Pool
2011· article· en· Engineering & Technology· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Validation of MOPITT retrievals of carbon monoxide
L. K. Emmons, M. N. Deeter, David Edwards, J. C. Gille, Daniel Ziskin, J.‐L. Attié +6 more
2003· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Characterization of trace gases measured over Alberta oil sands mining operations: 76 speciated C <sub>2</sub> –C <sub>10</sub> volatile organic compounds (VOCs), CO <sub>2</sub> , CH <sub>4</sub> , CO, NO, NO <sub>2</sub> , NO <sub>y</sub> , O <sub>3</sub> and SO <sub>2</sub>
Isobel J. Simpson, N. J. Blake, Barbara Barletta, Glenn S. Diskin, Henry E. Fuelberg, K. Gorham +7 more
2010· preprint· en· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
Methane emission intensity metrics: unmasking the trade-offs
Scott P. Seymour, Donglai Xie, Mary Kang, Stefan Schwietzke, Daniel Zavala‐Araiza, Steven P. Hamburg
2025· preprint· en· Research Square· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
ARGO: ARctic greenhouse Gas Observation metadata version 1
Judith Vogt, Martijn Pallandt, Luana S. Basso, Abdullah Bolek, Kseniia Ivanova, Mark Schlutow +8 more
2025· article· en· Earth system science data· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Canadian Arctic Archipelago Rivers Project Geochemical Data 2014-2016
Kristina A. Brown, William J. Williams, Eddy C. Carmack, Greg Fiske, Roger François, Donald McLennan +1 more
2019· dataset· en· Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
IUGG in the 21st century
Jo Ann Joselyn, Alik Ismail‐Zadeh, Tom Beer, Harsh K. Gupta, Masaru Kono, Uri Shamir +2 more
2019· article· en· History of geo- and space sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About