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
Cryospheric studies and observations
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.

4,944 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.
4,944 works in the cohort · of 4,299,418page 6 of 99

Labels cover 4 of 4,944 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 4,944 of 4,944 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.

afffundunlabeled
SHMIP The subglacial hydrology model intercomparison Project
Basile de Fleurian, Mauro Werder, Sebastian Beyer, Douglas Brinkerhoff, Ian Delaney, Christine F. Dow +6 more
2018· article· en· Journal of Glaciology· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
134
citations
affaboutunlabeled
The Global Cryosphere
Roger G. Barry, Thian Yew Gan
2011· book· en· Cambridge University Press eBooks· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
130
citations
fundno affunlabeled
Sensitivity of Pine Island Glacier to observed ocean forcing
Knut Christianson, Mitchell Bushuk, Pierre Dutrieux, B. R. Parizek, Ian Joughin, Richard B. Alley +14 more
2016· article· en· Geophysical Research Letters· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
130
citations
affaboutunlabeled
Six Decades of Glacial Mass Loss in the Canadian Arctic Archipelago
Brice Noël, Willem Jan van de Berg, Stef Lhermitte, Bert Wouters, Nicole Schaffer, M. R. van den Broeke
2018· article· en· Journal of Geophysical Research Earth Surface· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
130
citations
aboutno affunlabeled
Irreversible mass loss of Canadian Arctic Archipelago glaciers
Jan T. M. Lenaerts, J. H. van Angelen, M. R. van den Broeke, Alex Gardner, Bert Wouters, Erik van Meijgaard
2013· article· en· Geophysical Research Letters· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
129
citations
affno abstractunlabeled
Snowpack properties for snow profile analysis
Jürg Schweizer, J. Bruce Jamieson
2003· article· en· Cold Regions Science and Technology· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
124
citations
afffundunlabeled
Glacier velocities across the central Karakoram
Luke Copland, Sierra Pope, Michael P. Bishop, John F. Shroder, Penelope Clendon, Andrew B. G. Bush +3 more
2009· article· en· Annals of Glaciology· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
121
citations

How this was built: Screen · Findings · About